Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II [Paperback]

The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, held in Zakopane, Poland in June 2014. The 139 revised full papers presented in the volumes, were carefully reviewed and selected from 331 submissions. The 69 papers included in the first volume are focused on the following topical sections: Neural Networks and Their Applications, Fuzzy Systems and Their Applications, Evolutionary Algorithms and Their Applications, Classification and Estimation, Computer Vision, Image and Speech Analysis and Special Session 3: Intelligent Methods in Databases. The 71 papers in the second volume are organized in the following subjects: Data Mining, Bioinformatics, Biometrics and Medical Applications, Agent Systems, Robotics and Control, Artificial Intelligence in Modeling and Simulation, Various Problems of Artificial Intelligence, Special Session 2: Machine Learning for Visual Information Analysis and Security, Special Session 1: Applications and Properties of Fuzzy Reasoning and Calculus and Clustering.Visual Dictionary Pruning Using Mutual Information and Information Gain.- Mining Telecommunication Networks to Enhance Customer Lifetime Predictions.- A Note on Machine Learning Approach to Analyze the Results of Pairwise Comparison Based Parametric Evaluation of Research Units.- Bagging of Instance Selection Algorithms.- Essential Attributes Generation for Some Data Mining Tasks.- Visualizing Random Forest with Self Organising Map.- B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization.- Variants and Performances of Novel Direct Learning Algorithms for L2 Support Vector Machines.- Evolving Parameters for a Noisy Biological System.- The Impact of Alternative Approaches.- Classification of EEG Signals Using Vector Quantization.- Offline Text-Independent Handwriting Identification and Shape Modeling via Probabilistic Nodes Combination.- Compul35