Discovery Science 发现科学/会议录

出版时间：2005-11  出版社：1 (2005年11月14日)  作者：Achim Hoffmann  页数：400  

内容概要

This book constitutes the refereed proceedings of the 8th International Conference on Discovery Science, DS 2005, held in Singapore in October 2005, co-located with the International Conference on Algorithmic Learning Theory (ALT 2005). The 21 revised long papers and the 6 revised regular papers presented together with 9 project reports and 5 invited papers were carefully reviewed and selected from 112 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science.

书籍目录

Invited Papers　Invention and Artificial Intelligence　Algorithms and Software for Collaborative Discovery from Autonomous Semantically Heterogeneous, Distributed Information Sources　Training Support Vector Machines via SMO-Type Decomposition Methods　The Robot Scientist Project　The Arrowsmith Project: 2005 Status ReportRegular Contributions - Long Papers　Practical Algorithms for Pattern Based Linear Regression　Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach　Bias Management of Bayesian Network Classifiers　A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud's/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space　Assisting Scientific Discovery with an Adaptive Problem Solver　Cross-Language Mining for Acronyms and Their Completions from the Web　Mining Frequent 5-Free Patterns in Large Databases　An Experiment with Association Rules and Classification: Post-Bagging and Conviction　Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree　Support Vector Inductive Logic Programming　Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences　The q-Gram Distance for Ordered Unlabeled Trees　Monotone Classification by Function Decomposition　Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces　An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations　Pattern Classification via Single Spheres……Regular Contributions-Regular PapersProject ReportsAuthor Index