1393 search results - page 132 / 279 » Machine Learning by Function Decomposition |
ICTAI
2009
IEEE
15 years 8 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
109
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EUROGP
2003
Springer
15 years 7 months ago
2003
Springer
Finite state transducers (FSTs) are finite state machines that map strings in a source domain into strings in a target domain. While there are many reports in the literature of ev...
118
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COLT
2010
Springer
14 years 11 months ago
2010
Springer
We study the regret of an online learner playing a multi-round game in a Banach space B against an adversary that plays a convex function at each round. We characterize the minima...
117
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
103
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ICML
1990
IEEE
15 years 5 months ago
1990
IEEE
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...