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COLT
2008
Springer
13 years 7 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 5 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ICML
2009
IEEE
14 years 6 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
TSP
2008
86views more  TSP 2008»
13 years 5 months ago
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning
Jian-Wu Xu, António R. C. Paiva, Il Park, J...