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GRAPHICSINTERFACE
2008
15 years 7 months ago
Exponential shadow maps
Rendering high-quality shadows in real-time is a challenging problem. Shadow mapping has proved to be an efficient solution, as it scales well for complex scenes. However, it suff...
Thomas Annen, Tom Mertens, Hans-Peter Seidel, Eddy...
ICMLA
2008
15 years 7 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
IPCO
2008
114views Optimization» more  IPCO 2008»
15 years 7 months ago
The Stochastic Machine Replenishment Problem
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Kamesh Munagala, Peng Shi
172
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ICONIP
2007
15 years 7 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
164
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NIPS
2008
15 years 7 months ago
Multi-Agent Filtering with Infinitely Nested Beliefs
In partially observable worlds with many agents, nested beliefs are formed when agents simultaneously reason about the unknown state of the world and the beliefs of the other agen...
Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kael...