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ICML
2004
IEEE
16 years 7 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
16 years 6 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 3 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
ICCAD
2006
IEEE
155views Hardware» more  ICCAD 2006»
16 years 3 months ago
Adaptive multi-domain thermal modeling and analysis for integrated circuit synthesis and design
Abstract— Chip-package thermal analysis is necessary for the design and synthesis of reliable, high-performance, low-power, compact integrated circuits (ICs). Many methods of IC ...
Yonghong Yang, Changyun Zhu, Zhenyu (Peter) Gu, Li...
170
Voted
ATAL
2009
Springer
16 years 29 days ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...