Results 221 to 230 of about 1,480,093 (371)

Identifying network state-based Parkinson's disease subtypes using clustering and support vector machine models. [PDF]

Front Psychiatry
Nguchu BA, Han Y, Wang Y, Shaw P.
europepmc   +1 more source

Improvement of Generalization Ability of Multiclass Support Vector Machines by Introducing Fuzzy Logic and Bayes Theory

, 2002
Takuya Inoue, Shigeo Abe
openalex   +2 more sources

Virtual examples for text classification with Support Vector Machines [PDF]

, 2003
Manabu Sassano
openalex   +1 more source

Role of Amorphous Phases in Mixed Conduction of Conjugated Regioblock Copolymers for Organic Electrochemical Synaptic Transistors

Advanced Materials, EarlyView.
Critical roles of amorphous and crystalline phases in polymer‐based mixed ionic‐electronic conductors for organic electrochemical synaptic transistors using conjugated regioregular‐block‐regiorandom copolymers are demonstrated. Amorphous phases contribute to gradual polaron formation and strong ion trapping by bipolarons, leading to improved synaptic ...
Kwang‐Hun Choi, Seongil Im, Aaron Plant, Carlos Neri Soto, Hanna Lee, Changsoon Choi, Ho Won Jang, Jeong Ho Cho, Hyunsu Ju, Youngmin Lee, Jung Ah Lim   +10 more
wiley   +1 more source

One size does not fit all: a support vector machine exploration of multiclass cognitive state classifications using physiological measures. [PDF]

Front Neuroergon
Vogl J, O'Brien K, St Onge P.
europepmc   +1 more source

Visual speech recognition using support vector machines [PDF]

, 2003
Mihaela Gordan, Constantine Kotropoulos, Ioannis Pitas   +2 more
openalex   +1 more source

Brain‐Inspired In‐Memory Data Pruning and Computing with TaOx Mem‐Selectors

Advanced Materials, EarlyView.
In article number 2502168, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, and co‐workers present the first nanoscale Mem‐Selector device that integrates both nonvolatile resistive memory and volatile threshold switching functionalities for visual data pruning.
Yi Li, Jinru Lai, Songqi Wang, Ning Lin, Xu Zheng, Wenxuan Sun, Danian Dong, Xiqing Xu, Haili Ma, Feng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Han Wang, Ming Liu   +15 more
wiley   +1 more source

AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings. [PDF]

Foods
Li R, Wang H, Yu Q, Cai J, Jiang L, Luo X, Zou Q, Lv Z.   +7 more
europepmc   +1 more source

SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence [PDF]

, 2003
Can Cai
openalex   +1 more source

Atomic‐Scale Insights into Nanoparticle Exsolution at Dislocations in Dislocation‐Engineered Catalysts

Advanced Materials, EarlyView.
This study reveals an atomic‐level correlation between bulk dislocations and the exsolution of surface nanoparticles through a novel approach for dislocation engineering in epitaxial thin films. Employing in situ scanning transmission electron microscopy, two primary reasons for the frequent nucleation of dislocation‐associated nanoparticles are ...
Moritz Lukas Weber, Moritz Kindelmann, Dylan Jennings, Jan Hölschke, Regina Dittmann, Joachim Mayer, Wolfgang Rheinheimer, Xufei Fang, Felix Gunkel   +8 more
wiley   +1 more source