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» A Parallel Monte-Carlo Tree Search Algorithm
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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
AAAI
2000
13 years 9 months ago
A Distributed Algorithm to Evaluate Quantified Boolean Formulae
In this paper, we present PQSOLVE, a distributed theorem-prover for Quantified Boolean Formulae. First, we introduce our sequential algorithm QSOLVE, which uses new heuristics and...
Rainer Feldmann, Burkhard Monien, Stefan Schamberg...
AAAI
2010
13 years 9 months ago
Parallel Depth First Proof Number Search
The depth first proof number search (df-pn) is an effective and popular algorithm for solving and-or tree problems by using proof and disproof numbers. This paper presents a simpl...
Tomoyuki Kaneko
CP
2009
Springer
14 years 8 months ago
Confidence-Based Work Stealing in Parallel Constraint Programming
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...
Geoffrey Chu, Christian Schulte, Peter J. Stuckey