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NIPS
2000
15 years 1 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
81
Voted
INTERSPEECH
2010
14 years 7 months ago
Learning speaker normalization using semisupervised manifold alignment
As a child acquires language, he or she: perceives acoustic information in his or her surrounding environment; identifies portions of the ambient acoustic information as languager...
Andrew R. Plummer, Mary E. Beckman, Mikhail Belkin...
107
Voted
ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 11 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
RECSYS
2009
ACM
15 years 7 months ago
Learning to recommend helpful hotel reviews
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...
Michael P. O'Mahony, Barry Smyth
92
Voted
SIGUCCS
2003
ACM
15 years 5 months ago
Ready, connect, learn: preparing students for campus technology
This paper documents the progression through 4 methods of orienting incoming students in the use of Syracuse University’s computer systems. It discuses design issues involving: ...
Gerri McCarthy