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BMCBI
2008
228views more  BMCBI 2008»
14 years 11 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
PAMI
2008
196views more  PAMI 2008»
14 years 11 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
ECML
2006
Springer
15 years 3 months ago
Bandit Based Monte-Carlo Planning
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
Levente Kocsis, Csaba Szepesvári
CHI
2004
ACM
15 years 4 months ago
TNT: a numeric keypad based text input method
With the evolving functionality in television-based (TVbased) information and entertainment appliances, there is an increased need to enable users input text through remote contro...
Magnus Ingmarsson, David Dinka, Shumin Zhai
RSKT
2009
Springer
15 years 5 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao