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(模式识别中的机器学习与数据开采)Machine learning and data mining in pattern recognition

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(模式识别中的机器学习与数据开采)Machine learning and data mining in pattern recognition

最 低 价:¥582.60

定 价:¥677.44

作 者:PetraPerner 著

出 版 社:Oversea Publishing House

出版时间:2001-12-1

I S B N:9783540423591

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内容简介

The LNAI series reports state-of-the-art results in artificial intelligence re-search,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,LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing 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 PhD work)

作者简介

目录

Invited Paper
Technology of Text Mining
Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining
Case-Based Reasoning and Associative Memory
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
FAM-Based Fuzzy Inference for Detecting Shot Transitions
Rule Induction and Grammars
Rule-Based Ensemble Solutions for Regression
Learning XML Grammars
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
Clustering and Conceptual Clustering
Concepts Learning with Fuzzy Clustering and Relevance Feedback
LC: A Conceptual Clustering Algorithm
Data Mining on Signal, Images, Text and Temporal-Spatial Data
Data Mining Approach Based on Information-Statistical Analysis Application to Temporal-Spatial Data
A Hybrid Tool for Data Mining in Picture Archiving System
Feature Selection for a Real-World Learning Task
Automatic Identification of Diatoms Using Decision Forests
Validation of Text Clustering Based on Document Contents
Nonlinear Function Learning and Neural Net Based Learning
Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution
How to Automate Neural Net Based Learning
Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks
Learning for Handwriting Recognition
Local Learning Framework for Recognition of Lowercase Handwritten Characters
Mirror Image Learning for Handwritten Numeral Recognition
Statistical and Evolutionary Learning
Face Detection by Aggregated Bayesian Network Classifiers
Towards Self-Exploring Discriminating Features
……
Content-Based Image Retrieval
Author Index

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