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AAAI
1997
15 years 8 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
ECCV
2002
Springer
16 years 8 months ago
Representing Edge Models via Local Principal Component Analysis
Edge detection depends not only upon the assumed model of what an edge is, but also on how this model is represented. The problem of how to represent the edge model is typically ne...
Patrick S. Huggins, Steven W. Zucker
GECCO
2004
Springer
16 years 5 days ago
A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
Simon Fischer
ACL
2010
15 years 4 months ago
Intelligent Selection of Language Model Training Data
We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach i...
Robert C. Moore, William Lewis
CVPR
2005
IEEE
16 years 8 months ago
Modeling Dynamic Scenes with Active Appearance
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
Gianfranco Doretto