3050 search results - page 212 / 610 » On-line Algorithms in Machine Learning |
135
Voted
ECML
2004
Springer
15 years 9 months ago
2004
Springer
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
134
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IUI
2005
ACM
15 years 9 months ago
2005
ACM
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
135
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
116
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
128
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...