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Modeling Decisions for Artificial Intelligence: 10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013. Proceedings

✍ Scribed by Endre Pap (auth.), Vicenç Torra, Yasuo Narukawa, Guillermo Navarro-Arribas, David Megías (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
Tongue
English
Leaves
325
Series
Lecture Notes in Computer Science 8234 Lecture Notes in Artificial Intelligence
Edition
1
Category
Library

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✦ Synopsis


This book constitutes the proceedings of the 10th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2013, held in Barcelona, Spain, in November 2013. The 24 papers presented in this volume were carefully reviewed and selected from 40 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

✦ Table of Contents


Front Matter....Pages -
Theory and Applications of Non-additive Measures and Corresponding Integrals....Pages 1-10
Some New Domain Restrictions in Social Choice, and Their Consequences....Pages 11-24
Weighted Quasi-Arithmetic Means: Utility Functions and Weighting Functions....Pages 25-36
Toward a General Framework for Information Fusion....Pages 37-48
Facility Location and Social Choice via Microaggregation....Pages 49-57
Ordering Pareto Sets with Fuzzy Inference Systems....Pages 58-69
A Comparison of Two Approaches for Situation Detection in an Air-to-Air Combat Scenario....Pages 70-81
Web 2.0 Tools to Support Decision Making in Enterprise Contexts....Pages 82-93
Using the Logarithmic Generator Function in the Spoken Term Detection Task....Pages 94-104
Emotion Detection Using Hybrid Structural and Appearance Descriptors....Pages 105-116
A Lazy Learning Approach for Self-training....Pages 117-125
Combining Recommender and Reputation Systems to Produce Better Online Advice....Pages 126-138
Pushing Constraints into a Pattern-Tree....Pages 139-151
Generalization of Quadratic Regularized and Standard Fuzzy c -Means Clustering with Respect to Regularization of Hard c -Means....Pages 152-165
Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints....Pages 166-178
Query Optimization Strategies in Similarity-Based Databases....Pages 179-191
Variables for Controlling Cluster Sizes on Fuzzy c -Means....Pages 192-203
On Sequential Cluster Extraction Based on L 1 -Regularized Possibilistic Non-metric Model....Pages 204-213
Fast Implementations of Markov Clustering for Protein Sequence Grouping....Pages 214-225
The Property of $\chi^2_{01}$ -Concordance for Bayesian Confirmation Measures....Pages 226-236
Permutability of Fuzzy Consequence Operators Induced by Fuzzy Relations....Pages 237-247
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids....Pages 248-259
Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization....Pages 260-271
Rough c -Regression Based on Optimization of Objective Function....Pages 272-283
Improving Automatic Edge Selection for Relational Classification....Pages 284-295
Analyzing the Impact of Edge Modifications on Networks....Pages 296-307
Back Matter....Pages -

✦ Subjects


Artificial Intelligence (incl. Robotics); Pattern Recognition; Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); Information Storage and Retrieval; Numeric Computing


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