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» The Convergence of Contrastive Divergences
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EELC
2006
118views Languages» more  EELC 2006»
13 years 9 months ago
Lexicon Convergence in a Population With and Without Metacommunication
How does a shared lexicon arise in population of agents with differing lexicons, and how can this shared lexicon be maintained over multiple generations? In order to get some insig...
Zoran Macura, Jonathan Ginzburg
ECML
2004
Springer
13 years 10 months ago
Convergence and Divergence in Standard and Averaging Reinforcement Learning
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Marco Wiering
HICSS
2003
IEEE
209views Biometrics» more  HICSS 2003»
13 years 10 months ago
Divergent Approaches and Converging Views: Drawing Sensible Linkages between Knowledge Management and Organizational Learning
Knowledge management (KM) and organizational learning (OL) have developed in both divergent and convergent ways. In particular, these fields have relatively distinct intellectual ...
Jing Zhang, Sue R. Faerman
ICML
2010
IEEE
13 years 6 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller