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» A distributed machine learning framework
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133
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ICML
2010
IEEE
15 years 3 months ago
Multiagent Inductive Learning: an Argumentation-based Approach
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Santiago Ontañón, Enric Plaza
81
Voted
ICML
2010
IEEE
15 years 3 months ago
Budgeted Distribution Learning of Belief Net Parameters
Liuyang Li, Barnabás Póczos, Csaba S...
111
Voted
ACML
2009
Springer
15 years 9 months ago
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
Guy Van den Broeck, Kurt Driessens, Jan Ramon
86
Voted
ECML
2001
Springer
15 years 7 months ago
Comparing the Bayes and Typicalness Frameworks
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...