ライフサイエンスコーパス: nearest-neighbor

1 n trees, linear discriminate analysis, and k-nearest neighbor).

2 Forest, Naive Bayes, Logistic Regression, K-Nearest Neighbor.

3 ion, whose sign depends on the number of its nearest neighbors.

4 trations, size hierarchies and the growth of nearest neighbors.

5 inished by merging small clusters into their nearest neighbors.

6 les, and small modules are merged into their nearest neighbors.

7 ctive behavior is achieved by following only nearest neighbors.

8 t exclusively involve properties of a node's nearest neighbors.

9 s containing P*U pairs adjacent to different nearest neighbors.

10 Groups were propensity matched using a 2:1 nearest neighbor algorithm and short-term outcomes were

11 , we have several useful insights: (1) the k-nearest neighbor algorithm is an efficient and effective

12 A k-nearest neighbor algorithm was used for propensity score

13 The K-nearest neighbors algorithm identified 10 classifier gen

14 sity score matching was conducted by using a nearest-neighbor algorithm (1:1) to account for pretreat

15 erent machine learning approaches, including nearest neighbor algorithms, one-class classifiers, and

16 mismatch, the nearest neighbors, and the non-nearest neighbors, along with the effects of the single

17 ructure, permitting a rapid search for the k nearest neighbors among {x(j)} for an arbitrary point x

18 peripheral hydrophilic subunits, we combined nearest neighbor analyses by intermolecular disulfide bo

19 e stator by use of monoclonal antibodies and nearest neighbor analyses via intersubunit disulfide bon

20 ith image segmentation, centroid mapping and nearest-neighbor analyses in open-source environments, 3

21 Nearest neighbor analysis based upon this element alone

22 Subtomogram averaging and nearest neighbor analysis revealed that RuBisCO complexe

23 Nearest neighbor analysis revealed the presence of close

24 al properties of retinal mosaics include the nearest neighbor analysis, from which an index of their

25 nsity recovery profiling (DRP) analysis, and nearest neighbor analysis.

26 One nearest-neighbor analysis showed promise in accurately i

27 se by using the Ripley K function, a type of nearest-neighbor analysis.

28 s (random forest, support vector machines, K-nearest neighbor and logistic regression) and one recent

29 , our imputation comparisons indicate that k-nearest neighbor and singular value decomposition yielde

30 or rates computed using the Random Forest, k Nearest Neighbor and Support Vector Machine classifiers

31 imental results on 18 subjects, using both k nearest neighbors and support vector machine classifiers

32 ere evaluated: random forest, naive Bayes, K-nearest neighbors and support vector machine.

33 tionality according to the number of allowed nearest neighbors and their spatial arrangements.

34 which isolates the target cytosine from its nearest neighbors and thereby facilitates its extrusion

35 o the identities of the single mismatch, the nearest neighbors, and the non-nearest neighbors, along

36 ioning tree for sub-linear time searching of nearest neighbors, and then use a new multiple-pair merg

37 roportion of offspring are dropped on second-nearest neighbors, and why triplet approximation is able

38 three machine learning algorithms (LASSO, k-nearest-neighbors, and deep-neural-networks), two gene s

39 measure spatial organization by the average nearest neighbor (ANN) method.

40 A nearest-neighbor approach was used to back cast the time

41 an approximative approach or a more accurate Nearest-Neighbor approach.

42 the threshold approach, and 13.42% with the nearest-neighbor approach.

43 temperatures using approximative formulae or Nearest-Neighbor approaches, where one can select differ

44 optimize the local sequence identity or the nearest-neighbor approximation of the change in free ene

45 When their nearest neighbors are located in the tree of life, many

46 ery molecule, the contributions of its first-nearest neighbors as a descriptor to determine the wetti

47 on employing dispersal to nearest and second-nearest neighbors, as well as long-distance dispersal ac

48 tion, allowing selective coupling beyond the nearest-neighbor, at separations of hundreds of nanomete

49 In contrast, MILO identified a k-nearest neighbor-based model using only five features to

50 This accuracy depended upon the identity of nearest neighbor bases surrounding the CG dinucleotide.

51 ole moment when H(2) is adsorbed at the next nearest neighbor "benzene" site in MOF-74-Co.

52 onomic categories, but also resulting from a nearest-neighbor bias in the random forest algorithm.

53 ected endometrial cells by CyTOF, and use a 'nearest neighbor' bioinformatics approach to trace cells

54 in large flocks respond to a fixed number of nearest neighbors, but until now it was not understood w

55 ) pi MO is balanced by the fact that the non-nearest-neighbor, C-C interactions in (CO)(4) are antibo

56 C and C --> N) tie the helix together, with nearest-neighbor C7 rings turning the backbone so that i

57 when the particles simply "rattle" in their nearest-neighbor cages, are interrupted by abrupt "avala

58 can be attributed to the p electrons of the nearest-neighbor carbon atoms around the VSiVC divacanci

59 due to the much larger distances between non-nearest-neighbor carbons in (CO)(6) than in (CO)(4).

60 ) is that interactions between 2p AOs on non-nearest-neighbor carbons, which stabilize the a(2u) pi M

61 The proximities of specific subgroups of nearest-neighbor chains in glassy polymers are revealed

62 ctions for in silico fragmentation software, nearest neighbor chemical similarity scoring, random for

63 By applying k-nearest neighbor classification using these learned mode

64 a benchmark dataset with 2329 proteins using nearest-neighbor classification, FTIP outperformed the s

65 A non-parametric weighted k-nearest neighbor classifier evaluated the feature matric

66 ed splat label were used to train a linear k-nearest neighbor classifier that learnt the color proper

67 network, support vector machine (SVM) and k-nearest neighbor classifier.

68 ates the resident's performance was within 1 nearest-neighbor classifier of experts after ASSET train

69 oportions of the bond-orientational order of nearest neighbor clusters in colloidal packings by stati

70 cal2a x c expansion of the nuclear cell, and nearest-neighbor Co(2+) moments couple antiferromagnetic

71 analysis (P < .0005) and distance to the kth nearest neighbor compared with random distributions, obt

72 rough contig-to-gene identification by BLAST nearest-neighbor comparison, and through single-contig r

73 scope of the library to include spectra of "nearest-neighbor" compounds that differ from library com

74 stems are constrained to two dimensions with nearest neighbor connectivity.

75 ghbor constructor with STIR when the fixed-k nearest neighbor constructor is used.

76 en the adaptive radius method is used as the nearest neighbor constructor with STIR when the fixed-k

77 y applied allowing the detection of distinct nearest neighbor contacts for the HPMC-E3 rich preparati

78 A, which are attributed to C-C, C-N and C-O nearest neighbor contacts present in drug-drug interacti

79 We found that while nearest-neighbor contacts were significant, long-range i

80 tional accommodation should propagate beyond nearest-neighbor contacts, our modeling suggests that lo

81 nger ssDNA, glutamate does not enhance these nearest-neighbor cooperativities.

82 igh SSB/DNA ratios displays high "unlimited" nearest-neighbor cooperativity (omega(35)), forming long

83 We also find significant intermode nearest-neighbor cooperativity (omega(65/35)), with omeg

84 e different modes and the role of the IDL in nearest-neighbor cooperativity has not been probed.

85 nd fluorescence titration studies to examine nearest-neighbor cooperativity in each binding mode and

86 nteractions; however, in contrast to the non-nearest-neighbor cooperativity observed on longer ssDNA,

87 rces stabilizing nearest-neighbor versus non-nearest-neighbor cooperativity.

88 h pressure phase involves an increase in the nearest-neighbor coordination number while the bond angl

89 result, spatial correlations, as assayed by nearest-neighbor correlation and functional connectivity

90 At large doping, nearest-neighbor correlations between singly charged sit

91 Additional measurements revealed nearest-neighbor coupling in the data set are influenced

92 pin-orbital coupling or a frustrating second-nearest-neighbor coupling is expected to be a source of

93 A spin chain model with nearest-neighbor coupling reproduced key features of our

94 thus extending to other linear systems with nearest-neighbor coupling the following conclusions: 1)

95 ces, such as abc and abca, have the stronger nearest-neighbor coupling which imply the popular of per

96 state-of-the-art architectures rely on only nearest-neighbor coupling.

97 emerging out of networks with simple linear nearest-neighbor coupling.

98 y shifts of the local carbonyl groups due to nearest neighbor couplings and environmental factors are

99 st, followed by relatively slow (mus-ms) non-nearest neighbor cross-surface electron transfer from -R

100 is unavailable, we find that the sum of the nearest neighbors' degree is a reliable local proxy for

101 include efficient algorithms for overlap and nearest neighbor detection, coverage calculation and oth

102 Further, Antarctic krill avoid having a nearest neighbor directly overhead, possibly to avoid bl

103 and strain as well as Young's moduli on the nearest neighbor distance and defect types is examined.

104 linearly with wingspan but is independent of nearest neighbor distance and neighbor species.

105 To calculate diversity, we use the mean nearest neighbor distance of crosses plotted in trait sp

106 statistical distributions of swimming speed, nearest neighbor distance, and three-dimensional nearest

107 Cluster analyses based on nearest-neighbor distance (F, G and J-functions) and pai

108 re more condensed with a 20% smaller average nearest-neighbor distance and a 30% higher nucleosome de

109 in multidimensional separations based on the nearest neighbor distances (NND).

110 s while incorporating sample variance of the nearest neighbor distances into the attribute importance

111 at speeds of two body lengths per second at nearest neighbor distances of one body length and reach

112 Mean variabilities in measuring nearest neighbor distances were 1.93 mum (5.2%) in monke

113 r to minor axes of the best-fit ellipse) and nearest neighbor distances were calculated for each sess

114 change the distribution of cluster sizes and nearest-neighbor distances between Nav1.5 alpha-subunits

115 each other by enabling quantification of the nearest-neighbor distribution of a ligand mixture in a m

116 nd sialic acid) on ion-pair formation and by nearest-neighbor effects of hydrophilic glycans.

117 ivity in a manner that extends beyond simple nearest-neighbor effects.

118 dopant atoms is strongly dependent upon the nearest neighbor environment.

119 orithm that processes data sets using fast k-nearest-neighbor estimation of cell event density and ar

120 s (C-W) temperature of theta = -125 K, and a nearest-neighbor exchange coupling constant of J(NN) = -

121 be developed to achieve connectivity beyond nearest-neighbor exchange.

122 ng why historical earthquakes rarely rupture nearest neighbor faults.

123 Moreover, the nearest-neighbor Fe-Se bond length in SC samples exceeds

124 ence of third-neighbor antiferromagnetic and nearest-neighbor ferromagnetic exchange interactions can

125 )} in R(d), the algorithm attempts to find k nearest neighbors for each of x(j), where k is a user-sp

126 nd sparse discriminant analysis (SDA) with k-nearest neighbors for imputation for varying mechanism a

127 h preferential positions at first and second nearest neighbors for interstitial and substitutional Sr

128 ork topology that maximizes the regions with nearest-neighbor framework atom distances from 3 to 4.5

129 ng of transcription factor ARBORKNOX1 to the nearest neighbor genes in a pre-calculated co-expression

130 rlapping plasmonic fields emanating from the nearest-neighbor gold nanoparticle nanocarriers and crea

131 effect of each hash function encoded in the nearest neighbor graph.

132 that combines random hashing with a regular nearest neighbor graph.

133 refinement technique (EPSR) to elucidate the nearest neighbor H...O and O...O pair distribution funct

134 In addition, a non-nearest-neighbor high cooperativity can also occur in th

135 nd spin density wave orders tunable via next-nearest neighbor hopping t'.

136 To correct the model, new parameters in the nearest-neighbor hopping equation are introduced to acco

137 el was evaluated by comparing a drug and its nearest neighbor (i.e., a drug pair) for common indicati

138 analysis, 2 multiple-imputation models, and nearest-neighbor imputation.

139 se with 10(5) samples, GEMINI identifies the nearest neighbor in 0.05 sec compared to a brute force s

140 ning with a one-wingspan lateral distance to nearest neighbors in the same horizontal plane, scales l

141 vidence for a peptide favoring a sterol as a nearest-neighbor in fluid bilayers.

142 revealed that both peptides favor Chol as a nearest-neighbor in liquid-disordered (ld) bilayers to t

143 derlying interaction structure of data using nearest-neighbors in high dimensions, handles both dicho

144 oulomb repulsion (U) is much larger than the nearest-neighbor inter-site electronic coupling (t).

145 e effect is expected in a 1D antiferromagnet nearest-neighbors interacting Ising chain in the presenc

146 e use a one-dimensional lattice model with a nearest-neighbor interaction between individual integrin

147 proach allowed us to distinguish alternative nearest-neighbor interaction models, and quantifies the

148 tically a four-site square lattice with next-nearest neighbor interactions and a six-site checkerboar

149 d molecular dynamics (MD) simulations of the nearest neighbor interactions combined with a Genalized

150 Finally, nearest neighbor interactions segment the FORC-ridge.

151 product of binomial likelihoods penalized by nearest neighbor interactions.

152 y a simple, one-dimensional Ising model with nearest neighbor interactions.

153 lo-based simulation protocol that allows for nearest-neighbor interactions between adjacent binding s

154 rains are created with effectively repulsive nearest-neighbor interactions or rather evolve into such

155 Cholesterol stabilizes the L(o) state by nearest-neighbor interactions, giving rise to the appear

156 by Monte Carlo simulations on a lattice with nearest-neighbor interactions, which are derived from ex

157 B dimers including DNA bridging and possible nearest-neighbor interactions.

158 econd, the branch lengths of all the simple (nearest neighbor interchange) rearrangements of a tree c

159 quid-gas critical point and described by the nearest-neighbor Ising model in three dimensions.

160 In this study, we use nearest-neighbor "Ising" analysis of consensus TALE (cTA

161 ance of classification were obtained using k-nearest neighbor (k-NN) algorithm.

162 ent modeling of class analogy (SIMCA); and k-Nearest Neighbor (k-NN) classification.

163 me identified by an alternative algorithm, k-Nearest Neighbor (k-NN) regression.

164 endent Modelling of Class Analogy (SIMCA), k-Nearest Neighbor (k-NN), Principal Component Analysis fo

165 oaches including logistic regression (LR), k-nearest neighbor (k-NN), support vector machine (SVM), r

166 nt Modeling of Class Analogies (SIMCA) and K-Nearest Neighbors (k-NN) were applied to the four chroma

167 hods, namely Support Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Decision Tree, were employ

168 ast square discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), support vector machine (SVM) a

169 sparate data science techniques, including k-nearest neighbors, kernel methods, and multiscale analys

170 classified 50.2% of the samples correctly, K-nearest neighbor (KNN) 86%, and soft independent modelin

171 factors the best available methods utilize k-nearest neighbor (KNN) algorithms to make specificity pr

172 Here we present a modified version of the K-nearest neighbor (KNN) approach which accounts for trunc

173 ther linear discriminant analysis (LDA) or K-nearest neighbor (KNN) classifiers.

174 This approach adds the k Nearest Neighbor (kNN) graph of node attributes to allev

175 lysis into spectrofluorimeter software the k-Nearest Neighbor (kNN) Search technique was used.

176 We proposed a k-nearest neighbor (kNN) weighted imputation method for tr

177 learning models, namely, Naive Bayes (NB), K-nearest neighbor (KNN), logistic regression (LR), random

178 In all cases studied, CLPP accompanied by k-Nearest Neighbors (kNN) algorithm was found to outperfor

179 etwork (NN), support vector machine (SVM), k-nearest neighbors (kNN) and random forest (RF) methods.

180 Iterative Stochastic Elimination (ISE) and k-Nearest Neighbors (kNN) approaches.

181 In addition, we also use the k-nearest neighbors (KNN) to calculate the initial relatio

182 ast-squares discriminant analysis (PLSDA), K nearest neighbors (KNN), and support vector machines dis

183 (PCA), linear discriminant analysis (LDA), k-nearest neighbors (kNN), partial least square-discrimina

184 for assisting MeSH annotation, which uses k-nearest neighbors (KNN), pattern matching and indexing r

185 struction would have an elevated number of k nearest neighbors (kNNs).

186 ayer properties overall, except for the four nearest neighboring lipids, while the effect of PCB 52 i

187 f minimum substitution, mean substitution, k-nearest neighbors, local least squares regression, Bayes

188 the surface Fe sites, and their synergy with nearest-neighbor M sites through formation of O-bridged

189 he balance of competing interactions between nearest-neighbor magnetic moments can be directly contro

190 We then nearest-neighbor matched on each score in a variable rat

191 iple confounders using linear regression and nearest neighbor matching based on propensity score esti

192 These results, together with previous nearest-neighbor measurements, imply that the overall dr

193 ity is sufficient to enable the oxidation of nearest neighbor metal atoms.

194 The LLT recipients were matched 1:2 with a nearest neighbor method to single-organ lung recipients.

195 d the average distance between an LD and its nearest neighboring mitochondrion was increased.

196 itals, and the magnetic interactions between nearest-neighbor Mn(2+) atoms are antiferromagnetic.

197 al calculations reveal not only the expected nearest-neighbor Mn(III)2 exchange couplings via superex

198 els (the statistical regression model, the K nearest neighbor model and the modified version of the b

199 ary structure is typically predicted using a nearest neighbor model based on free energy parameters.

200 otide thermodynamic stability derived by the nearest neighbor model representation and (v) nucleic ac

201 values than those predicted by the standard nearest neighbor model.

202 Finally, we trained a k nearest neighbors model to classify AML and healthy subj

203 e position) was found in accordance with the nearest-neighbor model, where the considered configurati

204 ic penalty, not captured by state-of-the-art nearest neighbor models of DNA, due to the additional ov

205 s Analysis (CoMSIA) and variable-selection k-nearest neighbor models, from which 3D-molecular fields

206 predicted by either the RNA or DNA standard nearest neighbor models.

207 Orientational correlations up to nearest neighbor molecules at about 4.3 A were observed

208 ate by long-range hole tunneling between non-nearest-neighbor molecules.

209 onsidering a network of houses connected via nearest-neighbor mosquito movement.

210 n this paper, we describe the Multi-Source k-Nearest Neighbor (MS-kNN) algorithm for function predict

211 ian facial muscles reverted to an ancestral 'nearest-neighbor' muscle-bone type of attachment seen in

212 assification trees, discriminant analysis, k-Nearest neighbor, naive Bayes, and support vector machin

213 zation, whereas the shell was simulated as a nearest neighbor network promoting local GABAergic conne

214 We used a new approach to resolve nearest neighbor (nn) and long-range (lr) components fro

215 rely upon thermodynamic parameters from the nearest neighbor (NN) model.

216 mise increasingly accurate recovery of RNA's nearest-neighbor (NN) free-energy parameters, but these

217 l tool: the measure of distances between the nearest neighbors (NND).

218 Ti/Ge distribution has been deduced in next nearest neighbor (NNN) sites that surround tetrahedral P

219 In contrast, the nearest-neighbor nuclei, coupled to the methyl carbons,

220 r nucleotides, suggesting that the effect of nearest-neighbor nucleotides on repair of 7MeGs in the c

221 of 7MeGs by dimethyl sulfate is affected by nearest-neighbor nucleotides, being enhanced at sites ne

222 Repair of 7MeGs is also affected by nearest-neighbor nucleotides, being slow if the lesions

223 lycosylase in vitro is similarly affected by nearest-neighbor nucleotides, suggesting that the effect

224 Regardless of sensory area, random and k-nearest neighbors null graphs failed to capture the stru

225 "hybridization" between the Kondo clouds of nearest-neighbor O(2) molecules.

226 rithm for function prediction, which finds k-nearest neighbors of a query protein based on different

227 o account for interactions between the first nearest neighbors of Ca, Pb and Sb in the ternary Ca-Sb-

228 l variance together with the distance to the nearest neighbors of each structure.

229 Correctly identifying nearest "neighbors" of a given microorganism is importan

230 The nearest neighbor OO distances show a characteristic patt

231 nt, mostly contributed by 2p orbitals of the nearest-neighbor oxygen atom (O(NN)) with two dangling b

232 symmetry with side-by-side and tail-to-tail nearest-neighbor packing.

233 linear model regression of distances between nearest-neighbor pairs projected onto the predictor dime

234 Nearest neighbor parameters for estimating the folding e

235 for 29 RNA duplexes with GU pairs to improve nearest neighbor parameters for predicting stabilities o

236 he DeltaG degrees 37 values predicted by the nearest neighbor parameters for RNA duplexes in 20% PEG

237 This indicates that the nearest neighbor parameters for RNA duplexes in 20% PEG

238 s 37 values predicted by the 20% PEG 200 RNA nearest neighbor parameters were closer to the experimen

239 Nearest neighbor parameters were derived for use in free

240 weight of 200 g/mol) solution (PEG 200), and nearest neighbor parameters were derived using this data

241 sociated with the derivation of the previous nearest neighbor parameters were valid.

242 ches, where one can select different sets of Nearest-Neighbor parameters, corrections and formulae.

243 to fibrillar triple helices with at most six nearest neighbors per particle.

244 gh the integration of predictions from the k nearest neighbor phenologs, comparing classifiers and we

245 The nearest neighbor position distribution is highly anisotr

246 est neighbor distance, and three-dimensional nearest neighbor positions.

247 residues at the cleavage site (P1, P1') and nearest-neighbor positions (P2, P2') and their positiona

248 rgetically convenient for them to pair up in nearest-neighbor positions taking a D2-D2 or D2-D1 confi

249 s due to changes in energy landscape and the nearest-neighbor principle.

250 t a randomized algorithm for the approximate nearest neighbor problem in d-dimensional Euclidean spac

251 lop a new feature selection technique called Nearest-neighbor Projected-Distance Regression (NPDR) th

252 possibility of treatment selection bias, 1:1 nearest neighbor propensity score matching was performed

253 rate calculations of the ground state of the nearest-neighbor quantum spin S = 1/2 Heisenberg antifer

254 dding to read mapping, thus rephrasing it to nearest neighbor queries in a q-gram frequency vector sp

255 Nearest-neighbor recognition (NNR) measurements have bee

256 Nearest-neighbor recognition measurements have been made

257 iting the nonlocal atomic interaction in the nearest neighbor region, and the nonlocal coefficient is

258 Using a machine-learning technique called k-nearest-neighbors regression, we build a model which pre

259 ivation that accounts for interactions among nearest-neighbor regulatory units (RUs) in a spatially e

260 alysis (matching ratio, method to choose the nearest neighbors, replacement and method for statistica

261 nd TiO2(e(-)) was followed by rapid (<20 ns) nearest-neighbor -Ru(II)OH2(2+) to -Ru(III)P(3+) electro

262 compose the 2004 version of the free energy nearest neighbor rules.

263 be predicted for a given RNA structure using nearest neighbor rules.

264 he benefits of variance and distance between nearest-neighbor(s) minimization, providing a solution f

265 es this space using an efficient index-aware nearest neighbor search method based on locality sensiti

266 algorithmic approach that uses metric-space nearest neighbor search over a template database of fixe

267 GEMINI implements a nearest-neighbor search algorithm using a vantage-point

268 30 most frequently occurring single mismatch-nearest neighbor sequence combinations found in experime

269 ith an internal Psi-A base pair in different nearest-neighbor sequence contexts.

270 atic ordering and disordering far beyond the nearest-neighbor shells with the combination of temperat

271 l, hidden Markov model, logical algorithm, k-nearest neighbor, single value decomposition, and random

272 its offspring evenly over nearest and second-nearest neighboring sites.

273 this causes an almost complete occupation of nearest-neighbor sites and almost a doubling of the DNA

274 but nonetheless possible intercalation into nearest-neighbor sites can consistently describe the mec

275 We furthermore show that intercalation into nearest-neighbor sites needs to be considered when estim

276 and 420 K reveals emerging asymmetry in the nearest-neighbor Sn-Br correlations, consistent with dyn

277 , we describe a novel algorithm named shared nearest neighbor (SNN)-Cliq that clusters single-cell tr

278 Dicke-Ising model with an antiferromagnetic nearest-neighbor spin-spin interaction in circuit QED wi

279 photon interaction and the antiferromagnetic nearest-neighbor spin-spin interaction, and then predict

280 mic and experimental parameters that include nearest neighbor stacking energies, loop entropy effects

281 ines, traditional linear discriminant, and k-nearest neighbor statistical analyses.

282 otein from Bacillus stearothermophilus using nearest-neighbor statistical thermodynamic models.

283 itative description of the nearest- and next-nearest-neighbor structure with a quantitative descripti

284 nt crystal in which the P atoms form a third-nearest-neighbor sublattice and "In-P" dimers are orient

285 ing Diagonal Linear Discriminant Analysis, k-Nearest Neighbor, Support Vector Machine and Random Fore

286 rcRNA datasets when compared with XGBoost, k-nearest neighbor, support vector machine, random forest,

287 dynamics of plug trains: Interactions among nearest neighbors take place through the wetting films a

288 SNN-Cliq utilizes the concept of shared nearest neighbor that shows advantages in handling high-

289 ls, including the Logistic Regression, the K-Nearest Neighbor, the Support Vector Machine, and the Ar

290 scribing the population of distances between nearest neighbors: the lengths (di(o)) of distances and

291 prediction methods depend on the underlying nearest-neighbor thermodynamic model remains a fundament

292 in immunocompromised individuals and is the nearest neighbor to the causative agent of tularemia and

293 ily of machine learning algorithms that uses nearest-neighbors to select features whose association w

294 d distance (metric range), a fixed number of nearest neighbors (topological range), a 'shell' of near

295 d abundance, we compare its performance to K-nearest neighbors' type approaches, Random Forest, GSimp

296 onstrate that the excitonic coupling between nearest neighboring units in the tethered superstructure

297 Monte Carlo simulations driven by nearest-neighbor vacancy repulsions show checkerboard va

298 clear differences in the forces stabilizing nearest-neighbor versus non-nearest-neighbor cooperativi

299 The distances between nearest neighbors were calculated in resolution scaled a

300 ine learning algorithms, Random Forest and K-nearest neighbor, were used.