Distinguishing the Middle from the Extremes Chapter Five: The Distinctive Path of the Mahayana

Chapter 5 of Distinguishing the Middle from the Extremes. Adaptive Hopfield Network / Gursel Serpen -- Effective Pruning Method For A Multiple Classifier System Based On Self-generating Neural Networks / Hirotaka Inoue And Hiroyuki Narihisa -- Structural Bias In Inducing Representations For Probabilistic Natural Language Parsing / James Henderson -- Independent Component Analysis Minimizing Convex Divergence / Yasuo Matsuyama, Naoto Katsumata And Ryo Kawamura -- Selecting Salient Features For Classification Committees / Antanas Verikas, Marija Bacauskiene And Kerstin Malmqvist -- Fast And Efficient Training Of Rbf Networks / Oliver Buchtala, Alexander Hofmann And Bernhard Sick -- Loading Temporal Associative Memory Using The Neuronic Equation / Cheng-yuan Liou And Un-cheong Sou Okyay Kaynak ... [et Al.] (eds.) Includes Bibliographical References And Index. This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics