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» Proving Time Bounds for Randomized Distributed Algorithms
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ICML
2006
IEEE
15 years 10 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
CLUSTER
2008
IEEE
15 years 4 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
ISTCS
1993
Springer
15 years 1 months ago
The Minimum Reservation Rate Problem in Digital Audio/Video Systems
d Abstract) David P. Anderson Nimrod Megiddoy Moni Naorz April 1993 The \Minimum Reservation Rate Problem" arises in distributed systems for handling digital audio and video d...
Nimrod Megiddo, Moni Naor, David P. Anderson
AMAI
2008
Springer
14 years 10 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
DKE
2006
67views more  DKE 2006»
14 years 9 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...