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» Information retrieval using hierarchical dirichlet processes
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190
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ICML
2007
IEEE
16 years 7 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
PDPTA
1996
15 years 7 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking
171
Voted
DOLAP
2003
ACM
15 years 11 months ago
Exploiting hierarchical clustering in evaluating multidimensional aggregation queries
Multidimensional aggregation queries constitute the single most important class of queries for data warehousing applications and decision support systems. The bottleneck in the ev...
Dimitri Theodoratos
ICIP
2005
IEEE
15 years 11 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
ICIP
2000
IEEE
16 years 7 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda