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

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概要 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 prese...nted 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.続きを見る
目次 Theory and Applications of Non-additive Measures and Corresponding Integrals
Some New Domain Restrictions in Social Choice, and Their Consequences
Weighted Quasi-Arithmetic Means: Utility Functions and Weighting Functions
Toward a General Framework for Information Fusion
Facility Location and Social Choice via Microaggregation
Ordering Pareto Sets with Fuzzy Inference Systems
A Comparison of Two Approaches for Situation Detection in an Air-to-Air Combat Scenario
Web 2.0 Tools to Support Decision Making in Enterprise Contexts
Using the Logarithmic Generator Function in the Spoken Term Detection Task
Emotion Detection Using Hybrid Structural and Appearance Descriptors
A Lazy Learning Approach for Self-training
Combining Recommender and Reputation Systems to Produce Better Online Advice
Pushing Constraints into a Pattern-Tree
Generalization of Quadratic Regularized and Standard Fuzzy c-Means Clustering with Respect to Regularization of Hard c-Means
Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints
Query Optimization Strategies in Similarity-Based Databases
Variables for Controlling Cluster Sizes on Fuzzy c-means
On Sequential Cluster Extraction Based on L1-Regularized Possibilistic Non-metric Model
Fast Implementations of Markov Clustering for Protein Sequence Grouping
The Property of (S{(B2 01-Concordance for Bayesian Confirmation Measures
Permutability of Fuzzy Consequence Operators Induced by Fuzzy Relations
Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids
Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization
Rough c-Regression Based on Optimization of Objective Function
Improving Automatic Edge Selection for Relational Classification
Analyzing the Impact of Edge Modifications on Networks.
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本文を見る Full text available from Springer Computer Science eBooks 2013 English/International
Full text available from SpringerLINK Lecture Notes in Computer Science (2015)

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登録日 2020.06.27
更新日 2020.06.28