ライフサイエンスコーパス: regularize

1 n be efficiently optimized and appropriately regularized.

2 ency: a verb that is 100 times less frequent regularizes 10 times as fast.

3 narche, fecundability ratios for cycles that regularized 2-3 and >/=4 years after menarche were 0.90

4 rt the development and characterization of a regularized and truly modular peptide-specific binding p

5 development includes a metadata harvester to regularize, annotate, and preserve workflows and facilit

6 on testing our method on simulated data, our regularized approach requires less data and allows simul

7 paper, we develop a biological network-based regularized artificial neural network model for predicti

8 bert spaces regressions - RKHS, and Bayesian Regularized Artificial Neural Networks - BRANN, respecti

9 Using a regularized Bayesian integration system, we provide maps

10 eatment for insomnia, the authors found that regularizing bedtimes and rise times was often sufficien

11 y of survival prediction over the Cox models regularized by L(2) or L(1).

12 gh the sparsity constraint, which is further regularized by requiring continuity between consecutive

13 ime where the regression problem is strongly regularized by the prior, we show that computing the mar

14 projection on latent structures (OPLS), and regularized canonical correlation analysis (rCCA) to stu

15 gression, canonical correlation analysis and regularized canonical correlation analysis, and use them

16 report a data integration strategy based on regularized CCA and correlation analyses of urine metabo

17 using partial knowledge of its anatomy as a regularizing constraint.

18 ng biological knowledge or data, and propose regularized covariance estimators that encourages betwee

19 to bipolar disorder, which included help in regularizing daily routines, or nonspecific, intensive c

20 ant), quadratic discriminant analysis (QDA), regularized discriminant analysis (RDA, a hybrid of LDA

21 of microarray (PAM), and shrunken centroids regularized discriminant analysis (SCRDA).

22 In our framework, an iterative, voxelwise, regularized discriminant analysis is combined with a rec

23 The Laplacian-regularized discriminative model outperformed the genera

24 We provide an efficient L1-regularized discriminative training algorithm, which not

25 ns of the existing methods, we propose Graph-regularized Dual Lasso (GDL), a robust approach for eQTL

26 ough spikes are distorted by block, they are regularized during axonal propagation.

27 The regularizing effect is maximal for time scales on the or

28 e stripes and investigate their potential to regularize electrokinetic instabilities.

29 This regularized estimate is derived by flexibly combining th

30 We propose a novel method, regularized estimation of the basis covariance based on

31 We employ a regularized estimator of the correlation matrix to ensur

32 is structure consistently outperformed other regularized estimators.

33 n maximization and Q.Clear (block-sequential regularized expectation maximization with point-spread f

34 for both parameters and hyperparameters, and regularized expressions for the variance of each gene by

35 in globus pallidus; 13/23 cells in VLo), and regularized firing patterns did not always correspond to

36 ntly reduced the sAHP current and reversibly regularized firing.

37 gene pathway into a single score by using a regularized form of linear discriminant analysis, called

38 table model selection and efficient sparsity-regularized formulation.

39 b gene structure) of complex networks in the regularized formulation.

40 tistic method referred to as a quadratically regularized functional CCA (QRFCCA) for association anal

41 ctive computational methods for detecting co-regularized genes that are conserved across species.

42 Regularized GGM calculated pcor between gene pairs among

43 Regularized GGM coupled with iterative random samplings

44 nature of directed networks, di-sim uses the regularized graph Laplacian and projects the rows of the

45 We present a sparse (L1 regularized) graphical model to address these challenges

46 Exception words are typically 'over-regularized' in SD and pronounced as they are spelled (e

47 We developed SINCERITIES (SINgle CEll Regularized Inference using TIme-stamped Expression prof

48 cteristic of active nematics, is in this way regularized into a laminar flow with periodic velocity o

49 ed, and this was further strengthened in the regularized Ising model (r = -0.83, p = 3.7x10-12).

50 s that adding a cargo to a motor protein can regularize its gait.

51 or sustainable development: (i) channels for regularized learning across domains of practice should b

52 We employed regularized learning methods for classifying genes speci

53 We employed regularized learning methods for discriminating gene exp

54 fficients (trained on the gold standard with regularized least squares optimization and lasso) showed

55 of CS shares strong connections with popular regularized least-squares methods, and the use of such n

56 Regularized linear discriminant analysis indicated that

57 d from the motor cortex, a detector based on regularized linear discriminant analysis was able to ret

58 It compares favorably to a regularized linear discriminant analysis, SVMs in a one

59 , we investigated the use of the Constrained Regularized Linear Inversion approach as a new data proc

60 Regularized linear models performed nearly as well as ra

61 atory relationships among genes by employing regularized linear regression (ridge regression), using

62 from MEDLINE abstracts and produces a set of regularized logical structures representing the meaning

63 descent framework where optimization of the regularized logistic loss function is performed with res

64 andom Forest (RF), and multi-class l(1)/l(q)-regularized logistic regression (MCRLR) for analysis and

65 e identified by stability selection using L1-regularized logistic regression and by Kolmogorov-Smirno

66 gambiensis and habitat suitability using a regularized logistic regression and Maxent, respectively

67 , which builds on a temporally smoothed l(1)-regularized logistic regression formalism that can be ca

68 l2-regularized logistic regression is accordingly adopted h

69 ng a stability selection algorithm with a L1-regularized logistic regression kernel and were then fit

70 In this work, we extend l2-regularized logistic regression to the scenario of multi

71 Support vector machines and regularized logistic regression were able to identify a

72 st absolute shrinkage and selection operator regularized logistic regression.

73 Toward this end, this paper proposes a novel Regularized Low Rank-Sparse Decomposition (RegLRSD) algo

74 ct 9,879 quantitative image features and use regularized machine-learning methods to select the top f

75 work data are simultaneously integrated in a regularized manner.

76 The resulting algorithm, denoted soft regularized Markov clustering, is shown to outperform a

77 combines three approaches: (1) quadratically regularized matrix factorization, (2) functional data an

78 We propose a soft variation of Regularized MCL (R-MCL) based on the idea of iteratively

79 , a limitation of MCL and its variants (e.g. regularized MCL) is that it only supports hard clusterin

80 it relies on our definition of an algebraic "regularized mock modular form." As an application, we co

81 Our regularized multiple regression model had a high level o

82 hese high-dimensional datasets, we applied a regularized multivariate classifier to evoked potentials

83 Regularized multivariate linear regression accurately qu

84 ur algorithm is the only scalable method for regularized network recovery that employs Bayesian model

85 T2 distributions were generated with a regularized non-negative least squares algorithm from mu

86 In this article, a regularized non-negative matrix tri-factorization (R-NMT

87 have developed an integrative orthogonality-regularized nonnegative matrix factorization (iONMF) to

88 tion method, REMAP, which is based on a dual regularized one-class collaborative filtering algorithm,

89 al low-frequency network oscillations with a regularized pattern of neuronal firing.

90 ra-violet cut-off, but physically meaningful regularized polaron energies are also presented.

91 his new multitask regression to structurally regularized polynomial regression to detect epistatic in

92 with (1) a comparison of regularized vs. non-regularized procedures, (2) a null model of the degree-p

93 n of the linear reconstruction method called regularized pseudoinverse, we were able to recover high-

94 on of regions of gains and losses in a fused regularized quantile regression framework, incorporating

95 on, implemented in C++ and OpenCL, that fits regularized regression across multiple Graphics Processi

96 We propose a novel regularized regression approach that is based on the ada

97 e approaches generally performed better than regularized regression approaches.

98 lation group lasso algorithm using L(1)/L(2)-regularized regression for joint association analysis of

99 rior probabilities of activity are used in a regularized regression framework to predict response.

100 In the presence of high-dimensional data, regularized regression has been used as a natural strate

101 ed MICE approach based on an indirect use of regularized regression in terms of bias.

102 se difficulties, a previous study proposed a regularized regression method that penalizes on the diff

103 In this manuscript, we propose a multilevel regularized regression method to simultaneously identify

104 accuracy via comparisons with three popular regularized regression methods.

105 gate the performance of a widely used linear regularized regression solver, known as the Elastic Net.

106 h gene as eigenSNPs and uses a novel form of regularized regression technique, termed group ridge reg

107 ICE), we investigate two approaches of using regularized regression to impute missing values of high-

108 We used regularized regression with repeated cross-validation to

109 adjustment for all potential confounders via regularized regression, including ridge regression and l

110 ere we present our approach, primarily using regularized regression, which received the best-performe

111 when compared with traditional L(1)-and L(2)-regularized regression.

112 Norepinephrine, which normally regularizes respiratory activity, renders respiratory ac

113 ating the interconnections among them in the regularized selection.

114 , suggesting that behavioral intervention to regularize sleep/wake activity might be therapeutically

115 s paper, we propose a novel procedure called regularized sliced inverse regression (RSIR) for identif

116 This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry t

117 In the resting state, DBS is known to regularize spike activity in and downstream of the stimu

118 This penalty regularizes (stabilizes) the optimization problem, encou

119 y theories of Lighthill and Johnson, and the regularized Stokeslet method.

120 present code implementing the slender body, regularized Stokeslet, and resistive force theories; thu

121 ystem is problematic for existing methods of regularized supervised learning.

122 utation methods, the standard t-test and the regularized t-test and ANOVA are employed in the simulat

123 %) demonstrated differential expression by a regularized t-test and stringent criteria.

124 We discuss methods using a regularized t-test based on a Bayesian statistical frame

125 The regularized t-test is less affected by missing values th

126 r we compare several methods, including SAM, regularized t-test, mixture modeling, Wilk's lambda scor

127 nctional information from MRI can be used to regularize the EEG/MEG inverse problem, giving an improv

128 The idea of shrinkage is to regularize the model parameters to reduce the effects of

129 preattentive process that uses averaging to regularize the noisy representation of position in the p

130 pre-attentive process that uses averaging to regularize the pathologically noisy representation of le

131 NMDA-type conductance to each unitary event regularized the firing but lowered the precision and rel

132 We show the new method regularizes the estimates of the fitnesses for small, re

133 logous (i.e., non-seam) contacts by which it regularizes the MT lattice.

134 Instead of regularizing the problem using optimization techniques,

135 oding at the expense of spike-time coding by regularizing the spike train elicited by slow or constan

136 test using a Bayesian framework to compute a regularized variance of the measurements associated with

137 This paper describes an L1 regularized variational framework for developing a spati

138 not prevent the induction of VF, nor does it regularize VF.

139 lidate our approach with (1) a comparison of regularized vs. non-regularized procedures, (2) a null m

140 , the linear model needs to be appropriately regularized, which effectively imposes a prior on the ac

141 The proposed method is regularized with a general Lp (p in [0, 2]) penalty and

142 Compared with cycles that regularized within 2 years after menarche, fecundability