Advances in Computational Intelligence: 11th International by David Rozado, Francisco B. Rodriguez, Pablo Varona (auth.),

By David Rozado, Francisco B. Rodriguez, Pablo Varona (auth.), Joan Cabestany, Ignacio Rojas, Gonzalo Joya (eds.)

This two-volume set LNCS 6691 and 6692 constitutes the refereed complaints of the eleventh overseas Work-Conference on synthetic Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers have been conscientiously reviewed and chosen from 202 submissions for presentation in volumes. the 1st quantity comprises sixty nine papers prepared in topical sections on mathematical and theoretical equipment in computational intelligence; studying and version; bio-inspired platforms and neuro-engineering; hybrid clever structures; purposes of computational intelligence; new purposes of brain-computer interfaces; optimization algorithms in photograph processing devices; computing languages with bio-inspired units and multi-agent platforms; computational intelligence in multimedia proessing; and biologically believable spiking neural processing.

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Extra resources for Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I

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H´ector de Arazoza, Rachid Lounes, Andres S´ anchez, Jorge Barrios, and Ying-Hen Hsieh Flexible Entrainment in a Bio-inspired Modular Oscillator for Modular Robot Locomotion . . . . . . . . . . . . . . . . . . . . . . . . Fernando Herrero-Carr´ on, Francisco B. Rodr´ıguez, and Pablo Varona 516 524 532 Dengue Model Described by Differential Inclusions . . . . . . . . . . Jorge Barrios, Alain Pi´etrus, Aym´ee Marrero, H´ector de Arazoza, and Gonzalo Joya 540 Simulating Building Blocks for Spikes Signals Processing .

475–488. Springer, Heidelberg (2007) 4. : Evaluation of a low-cost open-source gaze tracker. In: ETRA 2010: Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, pp. 77–80. ACM, New York (2010) 5. : Towards a mathematical theory of cortical micro-circuits. PLoS Comput. Biol. be/mlg Abstract. This paper proposes the use of mutual information for feature selection in multi-label classification, a surprisingly almost not studied problem. A pruned problem transformation method is first applied, transforming the multi-label problem into a single-label one.

Some of them are extensions of existing single-label classification methods such as AdaBoost [4], support vector machines (SVM) [5] or K nearest neighbors [6] among others. Another popular approach to multi-label classification consists in transforming the problem into one or more single-label classification tasks. State of the art algorithms such as SVM can then be used directly. The most popular transformation method is the binary relevance (BR) which consists in learning a different Gauthier Doquire is funded by a Belgian FRIA grant.

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