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» A Parallel Monte-Carlo Tree Search Algorithm
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WWW
2011
ACM
14 years 6 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...
83
Voted
AAAI
2000
15 years 12 days 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...
81
Voted
AAAI
2010
15 years 15 days 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
168
Voted
CP
2009
Springer
15 years 11 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