Erick Cantú-Paz - researchr alias

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Viewing Publication 1 - 43 from 43

2016

Amazon Search: The Joy of Ranking ProductsDaria Sorokina, Erick Cantú-Paz. sigir 2016: 459-460 [doi]

2011

The sum of its parts: reducing sparsity in click estimation with query segmentsDustin Hillard, Eren Manavoglu, Hema Raghavan, Chris Leggetter, Erick Cantú-Paz, Rukmini Iyer. ir, 14(3):315-336, 2011. [doi]

2010

IntroductionFrancisco Fernández de Vega, Erick Cantú-Paz. In Francisco Fernández de Vega, Erick Cantú-Paz, editors, Parallel and Distributed Computational Intelligence. Volume 269 of Studies in Computational Intelligence, pages 1-9, Springer, 2010. [doi]

Parallel Architectures and Bioinspired AlgorithmsJosé Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Erick Cantú-Paz, Albert Y. Zomaya. pc, 36(10-11):553-554, 2010. [doi]

Temporal click model for sponsored searchWanhong Xu, Eren Manavoglu, Erick Cantú-Paz. sigir 2010: 106-113 [doi]

2008

Special issue on distributed bioinspired algorithmsFrancisco Fernández de Vega, Erick Cantú-Paz. soco, 12(12):1143-1144, 2008. [doi]

2007

Parameter Setting in Parallel Genetic AlgorithmsErick Cantú-Paz. In Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, editors, Parameter Setting in Evolutionary Algorithms. Volume 54 of Studies in Computational Intelligence, pages 259-276, Springer, 2007. [doi]

2006

Feature Subset Selection with Hybrids of Filters and Evolutionary AlgorithmsErick Cantú-Paz. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 291-314, Springer, 2006. [doi]

Special issue on parallel bioinspired algorithmsFrancisco Fernández de Vega, Erick Cantú-Paz. jpdc, 66(8):989-990, 2006. [doi]

Design of Parallel Estimation of Distribution AlgorithmsJiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 187-203, Springer, 2006. [doi]

IntroductionMartin Pelikan, Kumara Sastry, Erick Cantú-Paz. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 1-10, Springer, 2006. [doi]

2005

An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problemsErick Cantú-Paz, Chandrika Kamath. tsmc, 35(5):915-927, 2005. [doi]

Message from the ChairsFrancisco Fernández de Vega, Erick Cantú-Paz. icppw 2005: 572 [doi]

IntroductionJames A. Foster, Erick Cantú-Paz. gpem, 6(1):5-6, 2005. [doi]

2004

2003

Pruning Neural Networks with Distribution Estimation AlgorithmsErick Cantú-Paz. gecco 2003: 790-800 [doi]

Are Multiple Runs of Genetic Algorithms Better than One?Erick Cantú-Paz, David E. Goldberg. gecco 2003: 801-812 [doi]

Inducing oblique decision trees with evolutionary algorithmsErick Cantú-Paz, Chandrika Kamath. tec, 7(1):54-68, 2003.

Evolving neural networks to identify bent-double galaxies in the FIRST surveyErick Cantú-Paz, Chandrika Kamath. NN, 16(3-4):507-517, 2003. [doi]

2002

Order statistics and selection methods of evolutionary algorithmsErick Cantú-Paz. ipl, 82(1):15-22, 2002. [doi]

Feature Subset Selection By Estimation Of Distribution AlgorithmsErick Cantú-Paz. gecco 2002: 303-310

On Random Numbers And The Performance Of Genetic AlgorithmsErick Cantú-Paz. gecco 2002: 311-318

Evolving Neural Networks For The Classification Of GalaxiesErick Cantú-Paz, Chandrika Kamath. gecco 2002: 1019-1026

Approximate Splitting for Ensembles of Trees using HistogramsChandrika Kamath, Erick Cantú-Paz, David Littau. sdm 2002: 370-383 [doi]

Classifying bent-double galaxiesChandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang. cse, 4(4):52-60, 2002. [doi]

Probabilistic Model-Based Detection of Bent-Double Radio GalaxiesSergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz. icpr 2002: 499-502 [doi]

2001

Migration Policies, Selection Pressure, and Parallel Evolutionary AlgorithmsErick Cantú-Paz. heuristics, 7(4):311-334, 2001.

2000

Markov chain models of parallel genetic algorithmsErick Cantú-Paz. tec, 4(3):216-226, 2000.

Selection Intensity in Genetic Algorithm with Generation GapsErick Cantú-Paz. gecco 2000: 911-918

Efficient and accurate parallel genetic algorithmsErick Cantú-Paz. Volume 1 of Genetic algorithms and evolutionary computation, Kluwer, 2000.

Using Evolutionary Algorithms to Induce Oblique Decision TreesErick Cantú-Paz, Chandrika Kamath. gecco 2000: 1053-1060

Bayesian Optimization Algorithm, Population Sizing, and Time to ConvergenceMartin Pelikan, David E. Goldberg, Erick Cantú-Paz. gecco 2000: 275-282

Linkage Problem, Distribution Estimation, and Bayesian NetworksMartin Pelikan, David E. Goldberg, Erick Cantú-Paz. ec, 8(3):311-340, 2000.

1999

Migration Policies and Takeover Times in Genetic AlgorithmsErick Cantú-Paz. gecco 1999: 775

Topologies, Migration Rates, and Multi-Population Parallel Genetic AlgorithmsErick Cantú-Paz. gecco 1999: 91-98

On the Scalability of Parallel Genetic AlgorithmsErick Cantú-Paz, David E. Goldberg. ec, 7(4):429-449, 1999.

Designing Efficient and Accurate Parallel Genetic AlgorithmsErick Cantú-Paz. PhD thesis, University of Illinois Urbana-Champaign, USA, 1999. [doi]

The Gambler s Ruin Problem, Genetic Algorithms, and the Sizing of PopulationsGeorges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller. ec, 7(3):231-253, 1999.

1997

Predicting Speedups of Ideal Bounding Cases of Parallel Genetic AlgorithmsErick Cantú-Paz, David E. Goldberg. icga 1997: 113-120

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