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» On learning with dissimilarity functions
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IDEAL
2004
Springer
16 years 38 min ago
Policy Gradient Method for Team Markov Games
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
Ville Könönen
COLT
1999
Springer
15 years 11 months ago
On Theory Revision with Queries
Abstract. A brief overview is given of recent results on theory revision with queries for propositional formulas, such as monotone and unate DNF, Horn formulas, read-once formulas,...
Robert H. Sloan, György Turán
IJET
2008
77views more  IJET 2008»
15 years 6 months ago
Social Software for Lifelong Competence Development: Challenges and Infrastructure
Within the TENCompetence project we aim to develop and integrate models and tools into an open source infrastructure for the creation, storage and exchange of learning objects, sui...
Ivana Marenzi, Elena Demidova, Wolfgang Nejdl, Dan...
CORR
2007
Springer
95views Education» more  CORR 2007»
15 years 6 months ago
Prediction with expert advice for the Brier game
We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict...
Vladimir Vovk
FOCM
2007
76views more  FOCM 2007»
15 years 6 months ago
Risk Bounds for Random Regression Graphs
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
Andrea Caponnetto, Steve Smale