Advances in Soft Computing and Its Applications: 12th Mexican International Conference, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, الجزء 2
The two-volume set LNAI 8265 and LNAI 8266 constitutes the proceedings of the 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, held in Mexico City, Mexico, in November 2013. The total of 85 papers presented in these proceedings were carefully reviewed and selected from 284 submissions. The first volume deals with advances in artificial intelligence and its applications and is structured in the following five sections: logic and reasoning; knowledge-based systems and multi-agent systems; natural language processing; machine translation and bioinformatics and medical applications. The second volume deals with advances in soft computing and its applications and is structured in the following eight sections: evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems; machine learning and pattern recognition; data mining; computer vision and image processing; robotics, planning and scheduling and emotion detection, sentiment analysis and opinion mining.
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applied approach artificial neural networks Berlin Heidelberg 2013 BRNN classification clustering components Computer constraints Data Mining database dataset defined detection distribution documents domain efficient Engineering ensemble evaluation evolutionary evolutionary algorithms fault function Gelbukh genetic algorithm González Eds harmony search heuristic IEEE implementation input intersection Interval Type-2 Fuzzy iteration JT2FIS k-d tree kernel Keywords labels learning LNAI machine learning MCTS measure meta-actions metaheuristic method MICAI Mobile Payments mutation Neural Networks neurons node objects obtained operation optimization output paper parameters patterns performance Petrobras PID control planning population portfolio predicate presented procedure proposed query randomly RCC8 retrieval robot rotor school timetabling problem Section selection sentiment analysis sequences signal similarity simulation solution solve speech recognition Springer strategy support vector machines Table techniques tion tuples variables vector weight Wolbachia