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ACL
2006
15 years 8 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
Yee Whye Teh
WSCG
2004
139views more  WSCG 2004»
15 years 8 months ago
Clustering in Virtual Plant Ecosystems
The spatial plant distribution in virtual ecosystems is usually modeled by means of artificial life. Each plant is considered as a solitary element competing for its resources and...
Bedrich Benes, J. M. Soto Guerrero
NIPS
2003
15 years 8 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
BMVC
1998
15 years 8 months ago
Recovering More Classes than Available Bands for Mixed Pixels in Remote Sensing
The classification of sets of mixed pixels can be accomplished by making use of the relationship of higher order moments of the distributions of the pure and mixed classes. As a c...
Maria Faraklioti, Maria Petrou
158
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CORR
2007
Springer
108views Education» more  CORR 2007»
15 years 6 months ago
Limited feedback achieves the empirical capacity
The utility of limited feedback for coding over an individual sequence of DMCs is investigated. This study complements recent results showing how limited or noisy feedback can boo...
Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, M...