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» Local Search in Histogram Construction
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119
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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...
TELSYS
2011
207views Education» more  TELSYS 2011»
14 years 6 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
83
Voted
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 5 months ago
A memetic algorithm for the low autocorrelation binary sequence problem
Finding binary sequences with low autocorrelation is a very hard problem with many practical applications. In this paper we analyze several metaheuristic approaches to tackle the ...
José E. Gallardo, Carlos Cotta, Antonio J. ...
204
Voted
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
16 years 1 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
111
Voted
AIPS
2007
15 years 2 months ago
Robust Local Search and Its Application to Generating Robust Schedules
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
Hoong Chuin Lau, Thomas Ou, Fei Xiao