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Research and Development in Intelligent Systems XXV

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Cover of 'Research and Development in Intelligent Systems XXV'

Table of Contents

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    Book Overview
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    Chapter 1 On the Classification Performance of TAN and General Bayesian Networks
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    Chapter 2 Code Tagging and Similarity-based Retrieval with myCBR
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    Chapter 3 Sparse Representations for Pattern Classification using Learned Dictionaries
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    Chapter 4 Qualitative Hidden Markov Models for Classifying Gene Expression Data
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    Chapter 5 Description Identification and the Consistency Problem
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    Chapter 6 Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs
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    Chapter 7 Restart-Based Genetic Algorithm for the Quadratic Assignment Problem
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    Chapter 8 Constraint Satisfaction and Fixes: Revisiting Sisyphus VT
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    Chapter 9 On a Control Parameter Free Optimization Algorithm
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    Chapter 10 PISA — Pooling Information from Several Agents: Multiplayer Argumentation from Experience
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    Chapter 11 Agent-Based Negotiation in Uncertain Environments
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    Chapter 12 Automated Bilateral Negotiation and Bargaining Impasse
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    Chapter 13 Exploring Design Space For An Integrated Intelligent System
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    Chapter 14 A User-Extensible and Adaptable Parser Architecture
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    Chapter 15 The Reactive-Causal Architecture: Introducing an Emotion Model along with Theories of Needs
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    Chapter 16 Automation of the Solution of Kakuro Puzzles
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    Chapter 17 The Bayesian Learning Automaton — Empirical Evaluation with Two-Armed Bernoulli Bandit Problems
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    Chapter 18 Discovering Implicit Intention-Level Knowledge from Natural-Language Texts
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    Chapter 19 EMADS: An Extendible Multi-Agent Data Miner
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    Chapter 20 Designing a Feedback Component of an Intelligent Tutoring System for Foreign Language
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    Chapter 21 An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data
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    Chapter 22 Polarity Assignment to Causal Information Extracted from Financial Articles Concerning Business Performance of Companies
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    Chapter 23 Redux exp : An Open-source Justification-based Explanation Support Server
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    Chapter 24 Immunity-based hybrid evolutionary algorithm for multi-objective optimization
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    Chapter 25 Parallel Induction of Modular Classification Rules
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    Chapter 26 Transform Ranking: a New Method of Fitness Scaling in Genetic Algorithms
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    Chapter 27 Architecture of Knowledge-based Function Approximator
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    Chapter 28 Applying Planning Algorithms to Argue in Cooperative Work
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    Chapter 29 Universum Inference and Corpus Homogeneity
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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