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