Kernel Function

Robust Kernel Principal Component Analysis

Algorithms / Principal Component Analysis / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function / Missing Data / Feature Extraction / Kernel principal component analysis (KPCA) / Reproducibility of Results / Neural Computation / Cost Function / Feature Space / Kernel Function

Kernel Machines for Non-vectorial Data

Machine Learning / Support vector machine / Kernel Function

Unsupervised - Neural Network Approach for Efficient Video Description

Video Coding / Video Analysis / Video Streaming / Video Codec / Multi Dimensional / Object Oriented / Kernel Function / Object Oriented / Kernel Function

Semiparametric Regression of Multidimensional Genetic Pathway Data: Least-Squares Kernel Machines and Linear Mixed Models

Genetics / Algorithms / Statistics / Biometrics / Support Vector Machines / Prostate Cancer / Biometry / Gene expression / Linear models / Signal Transduction / Computer Simulation / Variable Selection / Regression Analysis / Nonparametric Regression / Sample Size / REML / Sensitivity and Specificity / Semiparametric Regression / Proteome / Restricted Maximum Likelihood / Kernel Function / Gene expression profiling / Prostate Cancer / Biometry / Gene expression / Linear models / Signal Transduction / Computer Simulation / Variable Selection / Regression Analysis / Nonparametric Regression / Sample Size / REML / Sensitivity and Specificity / Semiparametric Regression / Proteome / Restricted Maximum Likelihood / Kernel Function / Gene expression profiling

Learning to Rank Individuals in Description Logics Using Kernel Perceptrons

Semantic Web / Learning to Rank / Knowledge base / Rr / Description Logic / Kernel Function

Robust Kernel Principal Component Analysis

Functional Analysis / Algorithms / Principal Component Analysis / Decomposition / Neural Network / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier / Multidisciplinary / Linear models / Humans / Missing Data / Feature Extraction / Functional / Kernel principal component analysis (KPCA) / Reproducibility of Results / Adomian decomposition method / Neural Computation / Eigenvalue Problems / Cost Function / Covariance / Feature Space / Kernel Function / Outlier

Blockwise similarity in [0, 1] via triangular norms and Sugeno integrals-application to cluster validity

Decision Making / Pattern Recognition / Indexation / Kernel Function

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