Buscar

Mostrando ítems 1-10 de 2300

Comparing support vector machine contextual approaches for urban area classification

Universidade Estadual Paulista (Unesp); INPE - Inst. Nacional de Pesquisas Espaciais (2016-05-03)

Support vector machine (SVM) has been receiving a great deal of attention for remote sensing data classification. Although the original formulation of this method does not incorporate contextual information, lately different ...

[pt] EXTRAÇÃO DE REGRAS FUZZY PARA MÁQUINAS DE VETOR SUPORTE (SVM) PARA CLASSIFICAÇÃO EM MÚLTIPLAS CLASSES[en] FUZZY RULES EXTRACTION FROM SUPPORT VECTOR MACHINES (SVM) FOR MULTI-CLASS CLASSIFICATION

ADRIANA DA COSTA FERREIRA CHAVES

Empirical Evaluation Of Resampling Procedures For Optimising Svm Hyperparameters

Wainer; Jacques; Cawley; Gavin (Microtome PublBrookline, 2017)

IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators

Maldonado, S; Merigo, J; Miranda, J (Institute of Electrical and Electronics Engineers Inc., 2020)

Data selection based on decision tree for SVM classification on large data sets

Cervantes Canales, Jair; 101829; García Lamont, Farid; 216477; LOPEZ CHAU, ASDRUBAL; 100664; Rodríguez Mazahua, Lisbeth; 268183; RUIZ CASTILLA, JOSE SERGIO; 231221; Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; RUIZ CASTILLA, JOSE SERGIO (Applied Soft Computing, 2016)

Prediction of binding miRNAs involved with immune genes to the SARS-CoV-2 by using sequence features extraction and One-class SVM

Gutiérrez-Cárdenas, Juan; Wang, Zenghui (ElsevierNL, 2022)

The prediction of host human miRNA binding to the SARS-COV-2-CoV-2 RNA sequence is of particular interest. This biological process could lead to virus repression, serve as biomarkers for diagnosis, or as potential treatments ...

1
2
3
4
. . .
230

Buscar

Comparing support vector machine contextual approaches for urban area classification

[pt] EXTRAÇÃO DE REGRAS FUZZY PARA MÁQUINAS DE VETOR SUPORTE (SVM) PARA CLASSIFICAÇÃO EM MÚLTIPLAS CLASSES[en] FUZZY RULES EXTRACTION FROM SUPPORT VECTOR MACHINES (SVM) FOR MULTI-CLASS CLASSIFICATION

Empirical Evaluation Of Resampling Procedures For Optimising Svm Hyperparameters

IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators

Data selection based on decision tree for SVM classification on large data sets

Prediction of binding miRNAs involved with immune genes to the SARS-CoV-2 by using sequence features extraction and One-class SVM

A comprehensive survey on support vector machine classification: Applications, challenges and trends

Caracterizacao de lesões de pele em imagens digitais a partir de maquinas de vetores de suporte

Modulación de Espacio Vectorial (SVM) como Estrategia de Control PWM para un Inversor Híbrido Multiniveles

Identification of Wiener Models based on SVM and Orthonormal Bases

Buscar

Filtros

Comparing support vector machine contextual approaches for urban area classification

[pt] EXTRAÇÃO DE REGRAS FUZZY PARA MÁQUINAS DE VETOR SUPORTE (SVM) PARA CLASSIFICAÇÃO EM MÚLTIPLAS CLASSES[en] FUZZY RULES EXTRACTION FROM SUPPORT VECTOR MACHINES (SVM) FOR MULTI-CLASS CLASSIFICATION

Empirical Evaluation Of Resampling Procedures For Optimising Svm Hyperparameters

IOWA-SVM: A Density-Based Weighting Strategy for SVM Classification via OWA Operators

Data selection based on decision tree for SVM classification on large data sets

Prediction of binding miRNAs involved with immune genes to the SARS-CoV-2 by using sequence features extraction and One-class SVM

A comprehensive survey on support vector machine classification: Applications, challenges and trends

Caracterizacao de lesões de pele em imagens digitais a partir de maquinas de vetores de suporte

Modulación de Espacio Vectorial (SVM) como Estrategia de Control PWM para un Inversor Híbrido Multiniveles

Identification of Wiener Models based on SVM and Orthonormal Bases