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FLAIRS
2004
15 years 4 months ago
Experience-Based Resource Description and Selection in Multiagent Information Retrieval
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Leen-Kiat Soh
NIPS
2004
15 years 4 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
128
Voted
IJCAI
2003
15 years 3 months ago
Covariant Policy Search
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
J. Andrew Bagnell, Jeff G. Schneider
152
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ICML
2010
IEEE
15 years 3 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
ICML
2010
IEEE
15 years 3 months ago
Bayesian Nonparametric Matrix Factorization for Recorded Music
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
Matthew D. Hoffman, David M. Blei, Perry R. Cook