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NIPS
1998
15 years 8 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
SIGARCH
2008
94views more  SIGARCH 2008»
15 years 7 months ago
Parallelization, performance analysis, and algorithm consideration of Hough transform on chip multiprocessors
This paper presents a parallelization framework for emerging applications on the future chip multiprocessors (CMPs). With the continuing prevalence of CMP and the number of on-die...
Wenlong Li, Yen-Kuang Chen
IPPS
2005
IEEE
16 years 1 months ago
Scheduling Algorithms for Effective Thread Pairing on Hybrid Multiprocessors
With the latest high-end computing nodes combining shared-memory multiprocessing with hardware multithreading, new scheduling policies are necessary for workloads consisting of mu...
Robert L. McGregor, Christos D. Antonopoulos, Dimi...
ANCS
2007
ACM
15 years 11 months ago
Curing regular expressions matching algorithms from insomnia, amnesia, and acalculia
The importance of network security has grown tremendously and a collection of devices have been introduced, which can improve the security of a network. Network intrusion detectio...
Sailesh Kumar, Balakrishnan Chandrasekaran, Jonath...
SIGOPS
2010
162views more  SIGOPS 2010»
15 years 5 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig