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AI
2000
Springer
15 years 4 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
121
Voted
KBS
2000
59views more  KBS 2000»
15 years 4 months ago
Hands-on representations in a two-dimensional space for early stages of design
In design, problem analysis is as important as solution synthesis. Strategic knowledge is required not only for constructing a solution but also for framing a problem. While exter...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Shingo Takada
CVPR
2009
IEEE
2653views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Expression-Insensitive 3D Face Recognition using Sparse Representation
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...
Xiaoxing Li, Tao Jia, Hao Zhang 0002
ICML
2004
IEEE
16 years 5 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 10 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow