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作者: | Georg Dorffner 著 |
ISBN: |
9783540424864 , 3540424865
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出版社: | Springer |
出版日期: | 2001-10-1 |
定价: |
¥1055.86 元
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内容提要 :
The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS including its subseries LNAI spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material published traditionally includes.
—proceedings (published in time for the respective conference)
—post-proceedings (consisting of thoroughly revised final full papers)
—research monographs(which may be based on outstanding PhD work,research projects,technical reports,etc.).
目录 :
Invited Papers
The Complementary Brain
Neural Networks for Adaptive Processing of Structured Data
Bad Design and Good Performance:Strategies of the Visual System for Enhanced Scene Analysis
Data Analysis and Pattern Recognition
Fast Curvature Matrix-Vector Products
Architecture Selection in NLDA Networks
Neural Learning Invariant to Network Size Changes
Boosting Mixture Models for Semi-supervised Leanding
Bagging Can Stabilize without Reducing Variance
Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length
Discriminative Divensionalithy Reduction Based on Generalized LVQ
A Computational Intelligence Approach to Optimization
Clustering Gene Expression Data by Mutual Information with Gene Function
Learning to Learn Using Gradient Descent
A Variational Approach to Robust Regression
Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering
Direct Estimation of Polynomial Densities in Generalized RBF Networks Using Moments
Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk Prediction
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information
The Bias-Variance Dilemma of the Monte Carlo Method
A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations
Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster
Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors
A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks
Gaussian Radial Basis Functions and Inner-Product Spaces
……
Theory
Kernel Methods
Topographic Mapping
Independent Component Analysis
Signal Processing
Time Series Processing
Special Session:Agent-Based Economic Modeling
Selforganization and Dynamical Systems
Robotics and Control
Vision and Image Processing
Computational Neuroscience
Connectionist Cognitive Science