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Journal of Multiple-Valued Logic and Soft Computing(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Proceedings - 21st International Workshop on Database and Expert Systems Applications, DEXA 2010(1)
Progress in Artificial Intelligence(1)
Scientometrics(1)
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Funcionamiento de bibliotecas y archivos(3)
Medios documentales, educativos, informativos; periodismo(2)
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Biblioteconomía y Documentación informatica(1)
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Origen
scopus(5)
Bibliometric study of the scientific research on “Learning to Rank” between 2000 and 2013
ArticleAbstract: The application of machine learning algorithms in the construction of ranking models is a relativelyPalabras claves:bibliometric, Learning to rank, Scientific productionAutores:Fernández-Luna J.M., Huete J.F., Oscar José Alejo MachadoFuentes:scopusFisherman search procedure
ArticleAbstract: Optimization is used in diverse areas of science, technology, and business. Metaheuristics are one oPalabras claves:Global optimization, metaheuristics, Search proceduresAutores:Fernández-Luna J.M., Huete J.F., Morales E.R.C., Oscar José Alejo MachadoFuentes:scopusDirect optimization of evaluation measures in learning to rank using particle swarm
Conference ObjectAbstract: One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithPalabras claves:Information Retrieval, Learning to rank, Particle Swarm OptimizationAutores:Fernández-Luna J.M., Huete J.F., Oscar José Alejo Machado, Pérez-Vázquez R.Fuentes:scopusL2RLab: Integrated experimenter environment for learning to rank
Conference ObjectAbstract: L2RLab is a development environment that lets us to integrate all the stages to develop, evaluate, cPalabras claves:Data analysis tool, Experimentation Tool, Information Retrieval, Learning to rankAutores:Fernández-Luna J.M., Huete J.F., Moreno-Cerrud E., Oscar José Alejo MachadoFuentes:scopusRankPSO: A new L2R algorithm based on particle swarm optimization
ArticleAbstract: One of the central issues in Learning to Rank (L2R) for Information Retrieval is the development ofPalabras claves:CLÚSTER, Information Retrieval, learning algorithms, Learning to rank, Particle Swarm Optimization, principal components analysis, Ranking functionsAutores:Fernández-Luna J.M., Huete J.F., Oscar José Alejo MachadoFuentes:scopus