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IPPS
2007
IEEE
16 years 1 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
RTCSA
2007
IEEE
16 years 1 months ago
Scheduling Algorithms for I/O Blockings with a Multi-frame Task Model
A task that suspends itself to wait for an I/O completion or to wait for an event from another node in distributed environments is called an I/O blocking task. In conventional har...
Shan Ding, Hiroyuki Tomiyama, Hiroaki Takada
ICML
2006
IEEE
16 years 7 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
SIGARCH
2008
94views more  SIGARCH 2008»
15 years 6 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
AI
2002
Springer
15 years 6 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman