Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Applying Latent Semantic Analysis to Tag-Based Community Recommendations
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   Chapter 2 Macro Learning in Planning as Parameter Configuration
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   Chapter 3 Efficient Pairwise Classification Using Local Cross Off Strategy
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   Chapter 4 Learning Sentiments from Tweets with Personal Health Information
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   Chapter 5 Searching for Poor Quality Machine Translated Text: Learning the Difference between Human Writing and Machine Translations
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   Chapter 6 Mining Top-K Association Rules
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   Chapter 7 Cost-Sensitive Self-Training
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   Chapter 8 An Empirical Study of Encodings for Group MaxSAT
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    Chapter 9 Actions, Preferences, and Logic Programs
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    Chapter 10 Preference-Based Planning via MaxSAT
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    Chapter 11 Getting Emotional about News Summarization
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    Chapter 12 Exploiting the Probability of Observation for Efficient Bayesian Network Inference
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    Chapter 13 A Strategic Reputation-Based Mechanism for Mobile Ad Hoc Networks
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    Chapter 14 Domain Adaptation Techniques for Machine Translation and Their Evaluation in a Real-World Setting
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    Chapter 15 Applying Least Angle Regression to ELM
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    Chapter 16 Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty
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    Chapter 17 Image Morphing: Transfer Learning between Tasks That Have Multiple Outputs
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    Chapter 18 A Formal Study on the Dualities in Temporal Projection Problems
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    Chapter 19 Predicting Good Propagation Methods for Constraint Satisfaction
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    Chapter 20 Analysis of Important Factors for Measuring Similarity of Symbolic Music Using n-gram-Based, Bag-of-Words Approach
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    Chapter 21 Multiagent Decision by Partial Evaluation
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    Chapter 22 A Study of Recommending Locations on Location-Based Social Network by Collaborative Filtering
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    Chapter 23 Role Assignment for an Agent Group in Consideration of Conflicts among Agents
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    Chapter 24 Learning Observation Models for Dialogue POMDPs
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    Chapter 25 A Genetic and Social Computational Model for the Emergence of Skill-Based Agent Specialization
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    Chapter 26 Improvements to AdaBoost Dynamic
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    Chapter 27 Mining Sequential Rules Common to Several Sequences with the Window Size Constraint
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    Chapter 28 Mining Administrative Data to Predict Falls in the Elderly Population
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    Chapter 29 Text Similarity Using Google Tri-grams
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    Chapter 30 Mining the Hidden Structure of Inductive Learning Data Sets
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    Chapter 31 Curriculum Learning for Motor Skills
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    Chapter 32 Bayesian Multiple Imputation Approaches for One-Class Classification
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    Chapter 33 A Three-Level Cognitive Architecture for the Simulation of Human Behaviour
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    Chapter 34 Anomaly Detection via Coupled Gaussian Kernels
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    Chapter 35 Formal Verification of Temporal Questions in the Context of Query-Answering Text Summarization
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    Chapter 36 Dsharp: Fast d-DNNF Compilation with sharpSAT
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    Chapter 37 A Multiagent System to Solve JSSP Using a Multi-Population Cultural Algorithm
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    Chapter 38 Modeling Local Belief Revision in a Dynamic Reasoning System
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    Chapter 39 Exploiting Semantic Roles for Asynchronous Question Answering in an Educational Setting
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    Chapter 40 Managing Concurrent Negotiations in Multi-agent Systems
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    Chapter 41 Generalizing and Executing Plans
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    Chapter 42 Semantic Analysis of Functional and Non-Functional Requirements in Software Requirements Specifications
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    Chapter 43 Populating a Knowledge Base from a Dictionary