Nature-Inspired Computation and Machine Learning

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13th Mexican International Conference on Artificial Intelligence, MICAI2014, Tuxtla Gutiérrez, Mexico, November 16-22,2014.Proceedings, Part II, Lecture Notes in Computer Science 8857 – Lecture Notes in Artificial Intelligence

ISBN: 3319136496
ISBN 13: 9783319136493
Herausgeber: Alexander Gelbukh/Félix Castro Espinoza/Sofía N Galicia-Haro
Verlag: Springer Verlag GmbH
Umfang: xxx, 522 S., 195 s/w Illustr., 522 p. 195 illus.
Erscheinungsdatum: 20.11.2014
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7433769 Kategorie:

Beschreibung

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Autorenporträt

InhaltsangabeGenetic and Evolutionary Algorithms Performance Classification of Genetic Algorithms on Continuous Optimization Problems.- A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem.- An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem.- Extension of the Method of Musical Composition for the Treatment of Multi-objective Optimization Problems.- k-Nearest-Neighbor by Differential Evolution for Time Series Forecasting.- A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem.- Neural Networks.- The Best Neural Network Architecture.- On the Connection Weight Space Structure of a Two-Neuron Discrete Neural Network: Bifurcations of the Fixed Point at the Origin.- Stability of Modular Recurrent Trainable Neural Networks.- Intelligent Control of Induction Motor Based Comparative Study: Analysis of Two Topologies.- Auto-Adaptive Neuro-Fuzzy Parameter Regulator for Motor Drive.- Machine Learning.- Voting Algorithms Model with a Support Sets System by Class.- A Meta Classifier by Clustering of Classifiers.- Multiple Kernel Support Vector Machine Problem Is NP-Complete.- Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines.- A Hierarchical Reinforcement Learning Based Artificial Intelligence for Non-Player Characters in Video Games.- Wind Power Forecasting Using Dynamic Bayesian Models.- Predictive Models Applied to Heavy Duty Equipment Management.- Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example.- Machine Learning Applications to Audio and Text Audio-to-Audio Alignment for Performances Tracking.- Statistical Features Based Noise Type Identification.- Using Values of the Human Cochlea in the Macro and Micro Mechanical Model for Automatic Speech Recognition.- Identification of Vowel Sounds of the Choapan Variant of Zapotec Language.- An Open-Domain Cause-Effect Relation Detection from Paired Nominals.- An Alignment Comparator for Entity

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E-Mail: juergen.hartmann@springer.com

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