Results 81 to 90 of about 9,444,467 (301)
PLoS ONE, 2020 Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy ...
Maeri Yamamoto +8 more
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Support Vector Machine and Generalization
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2004 The support vector machine (SVM) has been extended to build up nonlinear classifiers using the kernel trick. As a learning model, it has the best recognition performance among the many methods currently known because it is devised to obtain high performance for unlearned data.
openaire +2 more sources
Threonine 348 regulates the subcellular localization of PTEN
FEBS Open Bio, EarlyView.Thr348 in the C2 domain is a key contributor to PTEN subcellular localization. The PTEN350 fragment and PTENA4 accumulated in the nucleus, whereas PTENK13R,A4 predominantly localized to the plasma membrane. In contrast, substitution of Thr348 with Asp (T348D) disrupted these characteristic localization patterns, resulting in predominant cytoplasmic ...
Takashi Kato, Suzu Tanaka, Miyu Ohashi
wiley +1 more source
Regression depth and support vector machine [PDF]
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core
A fault diagnosis method of rolling bearing
Gong-kuang zidonghua, 2014 For parameter optimization of support vector machine in fault diagnosis method of rolling bearing based on support vector machine, an improved fruit fly optimization algorithm was proposed which took accuracy rate of pattern classification as taste ...
DONG Jianping, YANG Cheng, LU Xiaoli
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Convolutional Support Vector Machine
CoRR, 2020 The support vector machine (SVM) and deep learning (e.g., convolutional neural networks (CNNs)) are the two most famous algorithms in small and big data, respectively. Nonetheless, smaller datasets may be very important, costly, and not easy to obtain in a short time.
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The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity
FEBS Open Bio, EarlyView.Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav +4 more
wiley +1 more source
Advances in Mechanical Engineering, 2020 Gear pump is the key component in hydraulic drive system, and it is very significant to fault diagnosis for gear pump. The combination of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine is proposed for fault
Yan Lu, Zhiping Huang
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Catenary Support Vector Machines [PDF]
, 2008 Many problems require making sequential decisions. For these problems, the benefit of acquiring further information must be weighed against the costs. In this paper, we describe the catenary support vector machine(catSVM), a margin-based method to solve sequential stopping problems.
Kin Fai Kan, Christian R. Shelton
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source