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TOMACS
2010
79views more  TOMACS 2010»
14 years 6 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
NIPS
1996
15 years 1 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
ICCD
2005
IEEE
165views Hardware» more  ICCD 2005»
15 years 8 months ago
Counter-Based Cache Replacement Algorithms
Recent studies have shown that in highly associative caches, the performance gap between the Least Recently Used (LRU) and the theoretical optimal replacement algorithms is large,...
Mazen Kharbutli, Yan Solihin
BMCBI
2010
142views more  BMCBI 2010»
14 years 9 months ago
Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
Background: High-throughput profiling of DNA methylation status of CpG islands is crucial to understand the epigenetic regulation of genes. The microarray-based Infinium methylati...
Pan Du, Xiao Zhang, Chiang-Ching Huang, Nadereh Ja...
ICIP
2008
IEEE
16 years 1 months ago
Statistical learning based intra prediction in H.264
In this paper, we improve the performance of intra prediction and simplify mode decision procedure at the same time. For these works, we apply a statistical learning method such a...
Cheolhong An, Truong Q. Nguyen