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AAAI
1993
13 years 11 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
EUROPAR
2009
Springer
13 years 8 months ago
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...
AAAI
2012
12 years 21 days ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
SODA
1996
ACM
121views Algorithms» more  SODA 1996»
13 years 11 months ago
Optimal Placement of Convex Polygons to Maximize Point Containment
Given a convex polygon P with m vertices and a set S of n points in the plane, we consider the problem of nding a placement of P that contains the maximum number of points in S. W...
Matthew Dickerson, Daniel Scharstein
TPDS
2002
80views more  TPDS 2002»
13 years 10 months ago
Performance Optimization Problem in Speculative Prefetching
Speculative prefetching has been proposed to improve the response time of network access. Previous studies in speculative prefetching focus on building and evaluating access models...
Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh, Saj...