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The top documents tagged [kernel learning]
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Matrix Computations in Machine Learning
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Lec1-Into
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Predictive Discrete Latent Factor Models for large incomplete dyadic data Deepak Agarwal, Srujana Merugu, Abhishek Agarwal Y! Research MMDS Workshop, Stanford
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Information Theoretic Learning Finding structure in data
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Information Theoretic Learning Finding structure in data
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Learning a Kernel Matrix for Nonlinear Dimensionality Reduction By K. Weinberger, F. Sha, and L. Saul Presented by Michael Barnathan
215 views
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Information Theoretic Learning Finding structure in data... Jose Principe and Sudhir Rao University of Florida
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215 views
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Predictive Discrete Latent Factor Models for large incomplete dyadic data
21 views
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A New Supervised Over-Sampling Algorithm with Application to Protein-Nucleotide Binding Residue Prediction Li Lihong (Anna Lee) Cumputer science 22th,Apr
215 views
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Information Theoretic Signal Processing and Machine Learning Jose C. Principe Computational NeuroEngineering Laboratory Electrical and Computer Engineering
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Learning a Kernel Matrix for Nonlinear Dimensionality Reduction
28 views