ライフサイエンスコーパス: heuristic

1 ined from GenBank metadata (i.e. a 'metadata heuristic').

2 iders per vehicle (optimally) or three (with heuristics).

3 -ended, intuitions supplied by the inherence heuristic.

4 explaining this fact requires the inherence heuristic.

5 en proposed for large networks, some of them heuristic.

6 ghts potential new avenues for the inherence heuristic.

7 the progressive multiple sequence alignment heuristic.

8 ality can emerge from a simple physiological heuristic.

9 nd a mean squared difference user-similarity heuristic.

10 ter than those found by the widely-used Jane heuristic.

11 an inherited yet highly accurate behavioural heuristic.

12 reputation are also observed to support this heuristic.

13 are less likely to switch to pro-cooperative heuristics.

14 ore accurate and precise than those based on heuristics.

15 NP-hard, restricting practical approaches to heuristics.

16 ing one random or "best" hit based on simple heuristics.

17 lectrophysiology protocols and global search heuristics.

18 gmenting characters without CAPTCHA-specific heuristics.

19 encourage the use of formally less competent heuristics.

20 airport perimeters, or with dynamical ad hoc heuristics.

21 tion algorithms, integer linear programs and heuristics.

22 tly assigned to predicted target genes using heuristics.

23 lect the complexity of domain-specific moral heuristics.

24 xed strategy agents with static behaviors or heuristics.

25 ms and their phonetic realizations defy such heuristics.

26 logistic regression modeling, and additional heuristics.

27 imize gains but often result in poor quality heuristics.

28 dressed cursorily and at times using various heuristics.

29 our system performed best using the metadata heuristic (0.54 Precision, 0.89 Recall and 0.68 F-score)

30 The inherence heuristic (a) offers modest insights into the complex na

31 location disambiguation including a distance heuristic, a population heuristic and a novel heuristic

32 n & Salomon (C&S) propose that the inherence heuristic, a tendency to explain the behavior and other

33 on precisely the claim that inherence is an heuristic, able to deliver simple, shallow outputs that

34 differences is consistent with the inherence heuristic account.

35 tic delivers outputs that imply it is not an heuristic after all, and is simply too fast and too easy

36 We give a heuristic algorithm (HMEC) that searches through alterna

37 phylogenetic tree topologies than the kmacs heuristic algorithm at highly competitive speed.

38 Our results suggest that our greedy heuristic algorithm not only works well but also outperf

39 Using a heuristic algorithm of bioinformatics analysis and in vi

40 Here, we describe a heuristic algorithm that uses a k-mer-based approach to

41 HubAlign uses a minimum-degree heuristic algorithm to estimate the topological and func

42 e trade-off optimization model and develop a heuristic algorithm to obtain the optimal trade-off topo

43 hen apply this theory to develop a practical heuristic algorithm, implemented in publicly available s

44 ermines apparent false positives inferred by heuristic algorithms especially among proteomes recovere

45 (Unified Medical Language System(R)) and on heuristic algorithms for parsing data.

46 A large number of heuristic algorithms for phylogenetics have been develop

47 m of computational complexity, a plethora of heuristic algorithms have arisen that report a 'good eno

48 We propose two heuristic algorithms, H-PoP and H-PoPG, based on dynamic

49 at essentialism can do without the inherence heuristic altogether.

50 Here, we present the Haystack Heuristic, an algorithm customized to computationally ex

51 that human reasoning relies on an inherence heuristic, an implicit cognitive process that leads peop

52 Pathway analysis, a heuristic analytic algorithm, a comparative oncology app

53 including a distance heuristic, a population heuristic and a novel heuristic utilizing knowledge obta

54 n (C&S) appear to characterize the inherence heuristic and essentialism as unwise or childish aspects

55 study several ranking methods, using various heuristic and machine-learning approaches.

56 Although GUM is a predictive heuristic and may not be necessarily reflective of the a

57 reference-dependent anchoring and adjustment heuristic and not from an 'averaging' effect, as initial

58 arify the relationship between the inherence heuristic and related cognitive tendencies (e.g., the co

59 the brain implements this important decision heuristic and what underlies individual differences have

60 it highly desirable to search for efficient heuristics and algorithms to, at least, partially answer

61 uncertainty language; the role of cognitive heuristics and of overconfidence; the choice of experts;

62 s found to be poor, leading to the view that heuristics and prior assumptions are critical for 3D mot

63 rch using known mechanisms of addiction as a heuristic, and leveraging new tools to manipulate activi

64 ions, discerning between innate, model-free, heuristic, and model-based controllers.

65 aths owing to its broad search base and fast heuristic, and provides for the first time thermodynamic

66 undeveloped intuitions, produced by System 1 heuristics, and developed beliefs, constructed by System

67 The win-stay/lose-shift heuristic appears not to be a unified mechanism, with th

68 m textual metadata and GEO data using both a heuristic approach as well as machine learning.

69 We show together with a heuristic approach it provides a simple solution for the

70 genome sequencing project and a phylogenetic heuristic approach to show that reassortment, a reticula

71 ains a challenge, however, with a variety of heuristic approaches having been explored to date.

72 means that developing general principles and heuristic approaches is important.

73 Unlike the heuristic approaches that attempt to predict enzyme stab

74 ltammetry and data optimization methods over heuristic approaches to "experiment"-theory comparisons

75 Heuristic approaches utilize combinations of Fourier Tra

76 number of seeds compared with other scalable heuristic approaches.

77 g studies, which have mostly relied on novel heuristic approaches.

78 and storytelling mechanisms of the inherence heuristic are not clearly enough specified to distinguis

79 reas higher level skills, such as the use of heuristics, are taught at postgraduate level.

80 Contrary to widespread belief based on heuristic arguments of genetic relatedness, non-reproduc

81 functional forms are largely justified with heuristic arguments.

82 aracterization of a domain-general inherence heuristic, available to young children, underplays the i

83 onservations, using a novel alignment search heuristic based on integer programming and Lagrangian re

84 ding global compaction that are derived from heuristics based on amino acid compositions for IDRs wit

85 rs of putative homologous genes recovered by heuristic-based approaches.

86 l is selected from the CB513 dataset using a heuristics-based approach.

87 een explained through rationality as well as heuristics-based models.

88 thermo-mechanical pathways of biodamage, and heuristic biological criteria for cell survival.

89 we confirm the potential of 18F-AV-1451 as a heuristic biomarker, but caution is indicated in the neu

90 o use the Bayes optimal strategy or to use a heuristic but suboptimal strategy.

91 We develop a heuristic called DOCKS to find a compact UHS, which work

92 Fortunately, the same heuristic can also be used to identify reliable targets

93 We then demonstrate how this proposed heuristic can provide a unified account for a broad set

94 natorial approaches led by genetic algorithm heuristics can enable identification of active additive

95 This suggests that such heuristics can lead to erroneous results.

96 Simulating graph models, we identify a heuristic cellular division rule that reproduces the obs

97 The proposed inherence heuristic centers on perceivers' failure to systematical

98 h smaller than the one predicted by previous heuristic centralities.

99 rt psychological essentialism, the inherence heuristic clarifies the basis of individual differences

100 ood performance using computationally faster heuristic clustering approaches (e.g. k-means).

101 So far, exact and heuristic coarse-graining methods have been mostly restr

102 We have developed a set of algorithms and heuristics collectively called indelMINER to identify in

103 we tested whether confidence reports reflect heuristic computations (e.g. the magnitude of sensory da

104 Fully automated and computer assisted heuristic data analysis approaches have been applied to

105 It may be an example of fast heuristic decision-making, which is adaptive in natural

106 Instead, the inherence heuristic delivers outputs that imply it is not an heuri

107 rocesses are typically designed according to heuristics derived from batch experiments in which the i

108 ng straightforward implementations of simple heuristic design rules.

109 that compromise accuracy with speed by using heuristic discrete search strategies or limited optimiza

110 rence heuristic" in a web of domain-specific heuristics (e.g., agent specific; action specific; conse

111 ent regulations and with the aim of minimize heuristic efforts associated with analytical method deve

112 top of the existing force scheme, additional heuristics employing new types of forces and movement ru

113 Hill's heuristic equation is still used, and the sliding-filame

114 stead programs such as Structure make use of heuristic estimators to approximate this quantity.

115 racterization for a biochemical network is a heuristic evaluation process that produces a characteriz

116 No systematic algorithms or heuristics exist to detect and filter batch effects or r

117 tude in execution time the best local search heuristics existing to date when applied to real data.

118 A heuristic explanation of this observation is grounded in

119 ric, mQC, based on a mix of data-derived and heuristic features.

120 Due to only using heuristic filtering based on significance score cutoffs

121 ple derivatization and ionization types, and heuristic filtering of candidate elemental compositions

122 Four modes with different sets of rules for heuristic filtering of candidate formulas coming from el

123 thm is highly accurate, outperforms previous heuristic filters and facilitates identification of nove

124 Although heuristic filters have been applied in these cases, they

125 Heuristic fitting suggests asymmetric holon-doublon coup

126 We have previously proposed a mapping heuristic for a subset of bioactivities stored in ChEMBL

127 values of individual features can provide a heuristic for estimating reward values of choice options

128 ALFRED-G is an alignment-free heuristic for evolutionary distance estimation between t

129 our fuzzy conflict graphs to develop a fast heuristic for fragment partitioning and haplotype recons

130 rtially by personal experiences; an accurate heuristic for local changes in climate identifies obstac

131 by its activation energy) provides a simple heuristic for predicting whether tropical/low-elevation

132 ent Research Tool (SMART), a novel searching heuristic for shotgun metagenomics sequencing results.

133 In this paper we focus on an heuristic for the identification of biomarkers called RG

134 We propose RGIFE, a heuristic for the inference of reduced panels of biomark

135 sampling strategy is an efficient and simple heuristic for the visual system to achieve accurate and

136 degree network nodes and the application of heuristics for both structural and affective information

137 or traits of related organisms, and provide heuristics for experimental design and reconstruction of

138 contrast-relationships can serve as powerful heuristics for face detection.

139 rming function prediction algorithms rely on heuristics for important components of the algorithm, su

140 s related to phylogeography using integrated heuristics for location disambiguation including a dista

141 e Journal, Galea and Link identify important heuristics for our discipline.

142 Here we develop heuristics for reliably detecting gene fusion events in

143 ediction efforts have relied on a variety of heuristics for the choice of negative examples.

144 experimentally existing and new local search heuristics for the GTAP using simulated and real data.

145 We use our heuristic formula to suggest a number of observational r

146 A simple, heuristic formula with parallels to the Drake Equation i

147 ropose a neuroimmune network hypothesis as a heuristic framework for organizing knowledge from dispar

148 Here, we present a combined algorithmic and heuristic framework for PUMA (Penalized Unified Multiple

149 This article proposes a heuristic framework for the Addictions Neuroclinical Ass

150 We propose a heuristic framework that divides formation of work or ta

151 Using Marr's three levels of analysis as a heuristic framework, we focus on this variable behaviour

152 y using a previously published curve-fitting heuristic from the relationship between pressure reactiv

153 he idea that control is recruited to prevent heuristics from producing biased choices, the right infe

154 e, we improve the efficiency of computing A* heuristic functions for protein design and propose a var

155 ystals and nanostructures, and (iii) propose heuristic guidelines for the synthesis of "polymer-like"

156 which applies the large neighborhood search heuristic; hence, it is suitable for larger input struct

157 These heuristics, however, usually only apply to pairwise sequ

158 We test this 'social heuristics hypothesis' by aggregating across every coope

159 emonstrate the effectiveness of the Haystack Heuristic in computing possible biomarker candidates fro

160 he authors are at risk of applying their own heuristic in supporting itself.

161 PFClust is heuristic in the sense that it cannot be described in te

162 2: The brain uses a 'guess and check' heuristic in which visual feedback that is obtained afte

163 rds and that they abstained from some simple heuristics in assessment of the alternative paths, such

164 uristics that get replaced by better adapted heuristics in the long run.

165 xtualize the process described as "inherence heuristic" in a web of domain-specific heuristics (e.g.,

166 progress on the basis of a systematic policy heuristic including agenda-setting, policy formulation a

167 cture-based drug design methods utilize such heuristic information for improving prediction or charac

168 are consistent with a combination of simple heuristics involving early-spending, spreading or saving

169 The inherence heuristic is a novel mechanism that appears to shape the

170 Although the inherence heuristic is a versatile cognitive process that addresse

171 using real sequence datasets shows that our heuristic is able to reconstruct comparable, or even mor

172 that, until direct evidence of the inherence heuristic is available, alternative models should not be

173 One pervasive and powerful heuristic is aversive pruning, in which potential decisi

174 The inherence heuristic is characterized as part of an instantiation o

175 This heuristic is found to be implicitly present in the curre

176 ations emerge, hydra-like, from an inherence heuristic is incomplete.

177 mon's (C&S's) claim that an innate inherence heuristic is part of our cognitive makeup.

178 The inherence heuristic is too broad as a theoretical notion.

179 The use of heuristics is motivated by showing the NP-hardness of a

180 rticle, aside from introducing the inherence heuristic, is to articulate the proposal that the heuris

181 open-source software tool that implements a heuristic iterated glycan sequencing algorithm coupled w

182 other and identify gaps between research and heuristic knowledge.

183 fs by systematically deviating from a simple heuristic learning algorithm and thereby countering the

184 th the animal's tendency to deviate from the heuristic learning algorithm.

185 rovide control signals for overriding simple heuristic learning algorithms based on the inferred stra

186 With the aid of a heuristic mathematical model, we postulate that if the r

187 We suggest that the inherence heuristic may itself be undergirded by a more foundation

188 omon's (C&S's) model (e.g., is the inherence heuristic meaningfully limited to only inherent factors?

189 Time-based heuristic mechanisms were related to activity in sensori

190 d partial-volume errors were performed via a heuristic method derived with a total count sampling sch

191 We further developed a three-step heuristic method to automate the interpretation of the B

192 We aim to develop a rapid heuristic method to determine potential human exposure t

193 cribe a new tool, MetaGeneTack, which uses a heuristic method to estimate parameters of sequence mode

194 We propose a new heuristic method, MULTIRES, to reconstruct ancestral gen

195 and introduce less systematic bias than the heuristic method.

196 ur methods and compare them with an existing heuristic method.

197 Heuristic methods are often employed for quality control

198 In contrast to heuristic methods evaluating nodes' significance separat

199 While numerous heuristic methods exist that successfully pinpoint disea

200 e) constraint programming is used instead of heuristic methods.

201 ing methods were more accurate than the more heuristic methods.

202 anced therapeutic options and can serve as a heuristic model for better understanding the process of

203 We also describe a simple heuristic model for predicting UGT-mediated sites of met

204 We present a heuristic model for the different growth stages of the C

205 Lane et al. propose a heuristic model in which distinct, and seemingly irrecon

206 oral and clinical neuroscience, we propose a heuristic model in which reduced NMDAR function may indu

207 An integrative heuristic model is proposed, wherein repeated high level

208 epth exploration of an iterative improvement heuristic model of bumblebee traplining previously found

209 This is shown with a heuristic model of network dynamics that incorporates ou

210 mood disorders was synthesized to describe a heuristic model of perimenopausal depression development

211 Using a heuristic model of tropical rainfall distribution, we pr

212 eneralized linear models (GLM) combined with heuristic model selection and testing methods for identi

213 The authors' heuristic model suggests that for some women, failure of

214 ounts but are compatible with an alternative heuristic model.

215 ch design must be guided by a combination of heuristic models and mechanistic models that include all

216 nimize the penalty, through a combination of heuristic Monte Carlo optimization and exact binary quad

217 The authors conclude that the multi-heuristic nature of modern biotechnology makes it an eng

218 iated with factors that likely represent the heuristics nurses use to assess whether an alarm represe

219 These approaches, however, often optimize a heuristic objective function and require strong assumpti

220 We also proposed a heuristic of determining the significance level and the

221 es in the sequenced data and assumptions and heuristics of the assemblers.

222 evidence can be computed exactly-that these heuristics often fail to estimate the true evidence and

223 onfidence in our tasks without necessitating heuristic operations.

224 Using a heuristic optimization approach to sentinel selection, t

225 Many decades of heuristic optimization have gone into perfecting convent

226 dels, supported by analytical methods, and a heuristic optimization scheme, we identify a material ge

227 nisms and populations and where we have some heuristic or coarse physical knowledge about states of i

228 One advantage is that it is not heuristic or reliant on sampling, but rather determines

229 nt approaches to fragment assignment rely on heuristics or approximations for tractability.

230 stematic biases that are often attributed to heuristics or limitations in cognitive processes.

231 e partially accounted for using "compression heuristics", or schemata that simplify the encoding and

232 We anticipate our results will serve as a heuristic paradigm for more sophisticated studies on hem

233 gorithm based on the subgradient method with heuristic path generation to solve the problem in a rece

234 version of hmmsearch in HMMER 3.x, utilizes heuristic-pipeline which consists of MSV/SSV (Multiple/S

235 fferent mathematical techniques to provide a heuristic procedure to determine if a system has the cap

236 vely tuned through stochastic-gradient-based heuristic processes over a cost function.

237 The inherence heuristic provides an intriguing and novel explanation f

238 the network alignment problem, aligners are heuristics providing divergent solutions and no consensu

239 to clustering of data points; and are often heuristic, providing an unsatisfactory solution in many

240 These historical metrics provide useful heuristic quality references for experiment across all c

241 The likelihood that behavior was heuristic rather than normative is suggested by the weak

242 social preferences guided by simple decision heuristics, rather than the rational examination of payo

243 Several heuristic rules identified here can be helpful for discr

244 We capture the role of the linker in a heuristic scaling model, and we find that compression is

245 scoring function with an evolutionary-based heuristic search algorithm, and can be efficiently appli

246 tron beam signal as feedback, which allows a heuristic search for the optimal wavefront under laser-p

247 re known metabolic universe using a tailored heuristic search strategy.

248 In addition, we use a heuristic search that is linear in size of the sparsity

249 ertree, given a set of input trees, performs heuristic searches to look for the supertree of highest

250 stic, is to articulate the proposal that the heuristic serves as a foundation for the development of

251 A meta-heuristic simulated annealing algorithm was applied to s

252 f a novel greedy approach with several other heuristic solutions.

253 r-SSR, which finds all SSRs faster than most heuristic SSR identification algorithms in a parallelize

254 stem context has been mixed, so we develop a heuristic strategic mathematical model to obtain general

255 Despite the vast use of heuristic strategies to identify influential spreaders,

256 mutations in individual tumors, we propose a heuristic strategy to estimate the mixture proportion of

257 chological processes, and that the inherence heuristic supplies important explanatory frameworks that

258 ve infrastructure that underlies reliance on heuristic systems.

259 zed that such affective responses serve as a heuristic that determines appropriate punishment.

260 oximate Bayesian optimality with a switching heuristic that forgoes multiplicative combination of pri

261 tion networks, based on a local optimization heuristic that has previously demonstrated its effective

262 We derive a simple and easy-to-interpret heuristic that integrates these factors into a single eq

263 ordered graphs, we introduce GR-Align, a CMO heuristic that is suited for database searches.

264 n mind is "fitted" with a built-in inherence heuristic that produces essentialist intuitions.

265 We then present a fast heuristic that uses the generated abundance histograms f

266 ich exposes experiential learners to climate heuristics that differ from the global average.

267 with exponential worst-case running time or heuristics that do not guarantee optimal solutions.

268 m to avail themselves of many strategies and heuristics that efficiently simplify, approximate, and h

269 In the short run subjects use naive learning heuristics that get replaced by better adapted heuristic

270 Here, we propose a descriptor based on the heuristics that structural and energetic 'confusion' obs

271 The reversibility constraints follow from heuristic thermodynamic poise approximations that take a

272 rast to C&S's claim, the so-called inherence heuristic, though perhaps vital in adult reasoning, seem

273 We show that a heuristic time-delay model of protein synthesis of a com

274 ion and they could replace the commonly used heuristic time-delay models for these processes.

275 It exploits a nodule compactness heuristic to delineate individual nodules.

276 n this algorithm, we have investigated a new heuristic to efficiently compute the lengths of common s

277 Second, rather than posit an inherence heuristic to explain why humans rely more heavily on inh

278 ce tests) were first proposed as an informal heuristic to help assess how "unexpected" the observed e

279 We apply the Haystack Heuristic to nine million B-cell receptor sequences obta

280 tches allowed, and have further applied this heuristic to phylogeny reconstruction.

281 show that humans adaptively use compression heuristics to allow larger amounts of social information

282 eady-state mass is a by-product and (ii) use heuristics to design a greedy algorithm.

283 Furthermore, we provide heuristics to identify, at the proteome level, proteins

284 Therefore, humans frequently use heuristics to reduce the complexity of decisions.

285 t to existing approaches that employ various heuristics to select independent aberrations, RAIG optim

286 quantitatively with the goal of developing "heuristics" to define structural requisites governing ac

287 bolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP.

288 While various heuristic tools exist for identifying range shifts and m

289 study explores new ground, and develops new heuristic tools, in combining ecology and phylogeny to a

290 There are many existing heuristic tools, most commonly based on bidirectional BL

291 for the second we propose several efficient heuristics, trading set size for speed and memory.

292 A simple heuristic used in practice is to sample ranks of states

293 euristic, a population heuristic and a novel heuristic utilizing knowledge obtained from GenBank meta

294 We present a rigorous comparison of these heuristics, utilizing a temporal holdout, and a novel ev

295 Addiction models have heuristic value in this regard, because both pain and ad

296 These findings highlight the heuristic value of an integrated functional genomic appr

297 By extending the study of fast-and-frugal heuristics, we view social perceptions as judgment tools

298 In contrast to previous heuristics which either search for exact matches while i

299 Heuristics which implicitly address this problem have em

300 s reputable as oneself emerges as a dominant heuristic, which represents aspirational homophily.