Results 51 to 60 of about 469,122 (324)
Robustness and Regularization of Support Vector Machines [PDF]
, 2008 We consider regularized support vector machines (SVMs) and show that they are precisely equivalent to a new robust optimization formulation. We show that this equivalence of robust optimization and regularization has implications for both algorithms, and
Caramanis, Constantine +2 more
core
RETRACTED: Forecasting Daily Electricity Price by Hybrid Model of Fractional Wavelet Transform, Feature Selection, Support Vector Machine and Optimization Algorithm [PDF]
, 2021 Rahmad Syah +5 more
openalex +1 more source
Autophagosome marker, LC3, is released extracellularly via several distinct pathways
FEBS Open Bio, EarlyView.This study establishes a novel HiBiT‐tagging system for ultrasensitive detection of LC3, revealing multiple pathways for its extracellular secretion. It demonstrates that LC3 is released via both autophagy‐dependent and ‐independent mechanisms, including a novel route for nonlipidated LC3‐I.
Koki Saito +3 more
wiley +1 more source
Minimal Complexity Support Vector Machines for Pattern Classification
Computers, 2020 Minimal complexity machines (MCMs) minimize the VC (Vapnik-Chervonenkis) dimension to obtain high generalization abilities. However, because the regularization term is not included in the objective function, the solution is not unique.
Shigeo Abe
doaj +1 more source
Semi-supervised learning paradigm analysis for classification of multimodal data
Науковий вісник Ужгородського університету. Серія: Математика і інформатика, 2021 The paper considers machine learning algorithms. The focus is on semi-controlled learning, which seems to be the balance between teaching accuracy with a teacher and the cost of teaching methods without a teacher.
Н. Бойко
doaj +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Transmembrane protein topology prediction using support vector machines
BMC Bioinformatics, 2009 Background Alpha-helical transmembrane (TM) proteins are involved in a wide range of important biological processes such as cell signaling, transport of membrane-impermeable molecules, cell-cell communication, cell recognition and cell adhesion. Many are
Nugent Timothy, Jones David T
doaj +1 more source
Multiclass latent locally linear support vector machines [PDF]
, 2013 Kernelized Support Vector Machines (SVM) have gained the status of off-the-shelf classifiers, able to deliver state of the art performance on almost any problem.
CAPUTO, BARBARA +2 more
core +1 more source
FEBS Open Bio, EarlyView.dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
Support vector machines for TEC seismo-ionospheric anomalies detection [PDF]
Annales Geophysicae, 2013 Using time series prediction methods, it is possible to pursue the behaviors of earthquake precursors in the future and to announce early warnings when the differences between the predicted value and the observed value exceed the predefined threshold ...
M. Akhoondzadeh
doaj +1 more source