A multikernel-like learning algorithm based on data probability distribution

DOI10.1155/2016/5927306zbMath1400.68179OpenAlexW2465566522WikidataQ59131749 ScholiaQ59131749MaRDI QIDQ1793375

Shuyu Liu, Zhengming Ma, Guo Niu

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/5927306

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SimpleMKL
• CMU PIE

Cites Work

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• Conformal transformation of kernel functions: A data-dependent way to improve support vector machine classifiers
• Localized algorithms for multiple kernel learning
• Sparse regularization for semi-supervised classification
• A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning
• Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning
• Combining Pattern Classifiers
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
• Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification
• On Estimation of a Probability Density Function and Mode

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