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» The Convergence of Contrastive Divergences
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NIPS
1994
15 years 7 months ago
Generalization in Reinforcement Learning: Safely Approximating the Value Function
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
Justin A. Boyan, Andrew W. Moore
JODS
2007
142views Data Mining» more  JODS 2007»
15 years 6 months ago
Context Dependency Management in Ontology Engineering: A Formal Approach
Abstract. A viable ontology engineering methodology requires supporting domain experts in gradually building and managing increasingly complex versions of ontological elements and ...
Pieter De Leenheer, Aldo de Moor, Robert Meersman
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 1 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
DESIRE
2010
15 years 1 months ago
Creativity methods in interaction design
The field of interaction design encompasses a variety of methods for fostering innovation and creativity. In this paper, we present a selection of such methods that scaffold ideat...
Michael Mose Biskjaer, Peter Dalsgård, Kim H...
JAIR
2011
114views more  JAIR 2011»
14 years 9 months ago
Properties of Bethe Free Energies and Message Passing in Gaussian Models
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
Botond Cseke, Tom Heskes