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179
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WSC
2007
15 years 8 months ago
Ant-based approach for determining the change of measure in importance sampling
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...
Poul E. Heegaard, Werner Sandmann
UAI
2008
15 years 7 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
184
Voted
AAAI
2006
15 years 7 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
164
Voted
APBC
2004
163views Bioinformatics» more  APBC 2004»
15 years 7 months ago
A Combined Model and a Varied Gibbs Sampling Algorithm Used for Motif Discovery
The conserved sequences in gene regulatory regions dominate gene regulation. Discovering these sequences and their functions is important in post genome era. A novel model is cons...
Xiaoming Wu, Bo Wang, Changxin Song, Jingzhi Cheng
154
Voted
WCE
2007
15 years 7 months ago
Feature Reconstruction for Face Recognition Based on Sample Image Learning
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wan...