Discovery Science

Table of Contents

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   Book Overview
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   Chapter 1 Invention and Artificial Intelligence
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   Chapter 2 Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources
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   Chapter 3 Training Support Vector Machines via SMO-Type Decomposition Methods
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   Chapter 4 The Robot Scientist Project
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   Chapter 5 The Arrowsmith Project: 2005 Status Report
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   Chapter 6 Practical Algorithms for Pattern Based Linear Regression
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   Chapter 7 Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach
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   Chapter 8 Bias Management of Bayesian Network Classifiers
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    Chapter 9 A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud’s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space
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    Chapter 10 Assisting Scientific Discovery with an Adaptive Problem Solver
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    Chapter 11 Cross-Language Mining for Acronyms and Their Completions from the Web
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    Chapter 12 Mining Frequent δ -Free Patterns in Large Databases
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    Chapter 13 An Experiment with Association Rules and Classification: Post-Bagging and Conviction
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    Chapter 14 Movement Analysis of Medaka ( Oryzias Latipes ) for an Insecticide Using Decision Tree
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    Chapter 15 Support Vector Inductive Logic Programming
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    Chapter 16 Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences
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    Chapter 17 The q -Gram Distance for Ordered Unlabeled Trees
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    Chapter 18 Monotone Classification by Function Decomposition
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    Chapter 19 Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces
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    Chapter 20 An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations
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    Chapter 21 Pattern Classification via Single Spheres
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    Chapter 22 SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos
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    Chapter 23 Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
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    Chapter 24 Massive Biomedical Term Discovery
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    Chapter 25 Active Constrained Clustering by Examining Spectral Eigenvectors
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    Chapter 26 Learning Ontology-Aware Classifiers
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    Chapter 27 Automatic Extraction of Proteins and Their Interactions from Biological Text
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    Chapter 28 A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures
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    Chapter 29 Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model
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    Chapter 30 Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search
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    Chapter 31 CLASSIC’CL: An Integrated ILP System
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    Chapter 32 Detecting and Revising Misclassifications Using ILP
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    Chapter 33 Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants
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    Chapter 34 A Semantic Enrichment of Data Tables Applied to Food Risk Assessment
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    Chapter 35 Knowledge Discovery Through Composited Visualization, Navigation and Retrieval
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    Chapter 36 A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation
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    Chapter 37 Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results
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    Chapter 38 Network Boosting for BCI Applications
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    Chapter 39 Rule-Based FCM: A Relational Mapping Model
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    Chapter 40 Effective Classifier Pruning with Rule Information
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    Chapter 41 Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery