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Results 1 to 25 of 1957

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Pobreza : un tema impostergable (nuevas respuestas a nivel mundial)Kliksberg, Bernardo.1993, XXIV, 432 p, isbn 980-6125-22-3Book

Sequence labeling with multiple annotatorsRODRIGUES, Filipe; PEREIRA, Francisco; RIBEIRO, Bernardete et al.Machine learning. 2014, Vol 95, Num 2, pp 165-181, issn 0885-6125, 17 p.Article

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithmBUSA-FEKETE, Robert; SZÖRENYI, Balazs; WENG, Paul et al.Machine learning. 2014, Vol 97, Num 3, pp 327-351, issn 0885-6125, 25 p.Article

Computational social science and social computingMASON, Winter; WORTMAN VAUGHAN, Jennifer; WALLACH, Hanna et al.Machine learning. 2014, Vol 95, Num 3, issn 0885-6125, 214 p.Serial Issue

Special Issue on Grammatical InferenceHEINZ, Jeffrey; DE LA HIGUERA, C; OATES, Tim et al.Machine learning. 2014, Vol 96, Num 1-2, issn 0885-6125, 223 p.Serial Issue

Distributional learning of parallel multiple context-free grammarsCLARK, Alexander; YOSHINAKA, Ryo.Machine learning. 2014, Vol 96, Num 1-2, pp 5-31, issn 0885-6125, 27 p.Article

Adaptively learning probabilistic deterministic automata from data streamsBALLE, Borja; CASTRO, Jorge; GAVALDA, Ricard et al.Machine learning. 2014, Vol 96, Num 1-2, pp 99-127, issn 0885-6125, 29 p.Article

PAUTOMAC: a probabilistic automata and hidden Markov models learning competitionVERWER, Sicco; EYRAUD, Rémi; DE LA HIGUERA, Colin et al.Machine learning. 2014, Vol 96, Num 1-2, pp 129-154, issn 0885-6125, 26 p.Article

Meta-interpretive learning: application to grammatical inferenceMUGGLETON, Stephen H; LIN, Dianhuan; PAHLAVI, Niels et al.Machine learning. 2014, Vol 94, Num 1, pp 25-49, issn 0885-6125, 25 p.Article

Learning from interpretation transitionINOUE, Katsumi; RIBEIRO, Tony; SAKAMA, Chiaki et al.Machine learning. 2014, Vol 94, Num 1, pp 51-79, issn 0885-6125, 29 p.Article

Fast relational learning using bottom clause propositionalization with artificial neural networksFRANCA, Manoel V. M; ZAVERUCHA, Gerson; D'AVILA GARCEZ, Artur S et al.Machine learning. 2014, Vol 94, Num 1, pp 81-104, issn 0885-6125, 24 p.Article

The bane of skew: Uncertain ranks and unrepresentative precisionLAMPERT, Thomas A; GANCARSKI, Pierre.Machine learning. 2014, Vol 97, Num 1-2, pp 5-32, issn 0885-6125, 28 p.Article

A theory of transfer learning with applications to active learningLIU YANG; HANNEKE, Steve; CARBONELL, Jaime et al.Machine learning. 2013, Vol 90, Num 2, pp 161-189, issn 0885-6125, 29 p.Article

Learning with infinitely many featuresRAKOTOMAMONJY, A; FLAMARY, R; YGER, F et al.Machine learning. 2013, Vol 91, Num 1, pp 43-66, issn 0885-6125, 24 p.Article

Bayesian object matchingKLAMI, Arto.Machine learning. 2013, Vol 92, Num 2-3, pp 225-250, issn 0885-6125, 26 p.Article

Variational Bayesian sparse additive matrix factorizationNAKAJIMA, Shinichi; SUGIYAMA, Masashi; BABACAN, S. Derin et al.Machine learning. 2013, Vol 92, Num 2-3, pp 319-347, issn 0885-6125, 29 p.Article

On using nearly-independent feature families for high precision and confidenceMADANI, Omid; GEORG, Manfred; ROSS, David et al.Machine learning. 2013, Vol 92, Num 2-3, pp 457-477, issn 0885-6125, 21 p.Article

A reinforcement learning approach to autonomous decision-making in smart electricity marketsPETERS, Markus; KETTER, Wolfgang; SAAR-TSECHANSKY, Maytal et al.Machine learning. 2013, Vol 92, Num 1, pp 5-39, issn 0885-6125, 35 p.Article

Geometry preserving multi-task metric learningPEIPEI YANG; KAIZHU HUANG; LIU, Cheng-Lin et al.Machine learning. 2013, Vol 92, Num 1, pp 133-175, issn 0885-6125, 43 p.Article

Differential privacy based on importance weightingZHANGLONG JI; ELKAN, Charles.Machine learning. 2013, Vol 93, Num 1, pp 163-183, issn 0885-6125, 21 p.Conference Paper

Probabilistic topic models for sequence dataBARBIERI, Nicola; MANCO, Giuseppe; RITACCO, Ettore et al.Machine learning. 2013, Vol 93, Num 1, pp 5-29, issn 0885-6125, 25 p.Conference Paper

Spatio-temporal random fields: compressible representation and distributed estimationPIATKOWSKI, Nico; LEE, Sangkyun; MORIK, Katharina et al.Machine learning. 2013, Vol 93, Num 1, pp 115-139, issn 0885-6125, 25 p.Conference Paper

The flip-the-state transition operator for restricted Boltzmann machinesBRÜGGE, Kai; FISCHER, Asja; IGEL, Christian et al.Machine learning. 2013, Vol 93, Num 1, pp 53-69, issn 0885-6125, 17 p.Conference Paper

A bacteria foraging algorithm based cell formation considering operation timeNOURI, Hossein; TANG SAI HONG.Journal of manufacturing systems. 2012, Vol 31, Num 3, pp 326-336, issn 0278-6125, 11 p.Article

A complexity model for sequence planning in mixed-model assembly linesXIAOWEI ZHU; JACK HU, S; KOREN, Yoram et al.Journal of manufacturing systems. 2012, Vol 31, Num 2, pp 121-130, issn 0278-6125, 10 p.Article

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