Titlebook: Machine Learning: ECML 2001; 12th European Confer Luc Raedt,Peter Flach Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001

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Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Pugh the use of a student-teacher learning paradigm, the error surfaces of several neural networks are examined using so-called fitness distance correlation, which has previously been applied to discrete, combinatorial optimization problems. The results suggest that the neural network training tasks

Arrhythmia

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GLEAN

Using Subclasses to Improve Classification Learningnd weaknesses of machine learning algorithms. Simulated data sets allow much better control and understanding of the nature of the learning problem than empirical benchmark data sets..To demonstrate the value of our proposed research methodology, we describe in this paper the results of our studies

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Learning What People (Don’t) Wantor documents. In this paper, we present a probabilistic, model-based framework for user ratings based on a novel collaborative filtering technique that performs an automatic decomposition of user preferences. Our approach has several benefits, including highly accurate predictions, task-optimized mo

phase-2-enzyme

富饒

Fredrik A. Dahlnal relevance of Chinese cultural resources in the 21st cent.This book provides a comprehensive examination of the socio-cultural and political context of modern China in terms of its interaction with America and the West, focusing on the influence of the well-known Chinese writer and intellectual L