Advances in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 A Novel Particle Swarm-Based Approach for 3D Motif Matching and Protein Structure Classification
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   Chapter 2 Rhetorical Figuration as a Metric in Text Summarization
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   Chapter 3 Empirical Evaluation of Intelligent Mobile User Interfaces in Healthcare
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   Chapter 4 Learning to Measure Influence in a Scientific Social Network
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   Chapter 5 Filtering Personal Queries from Mixed-Use Query Logs
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   Chapter 6 Analysis of Feature Maps Selection in Supervised Learning Using Convolutional Neural Networks
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   Chapter 7 Inconsistency versus Accuracy of Heuristics
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   Chapter 8 VMSP: Efficient Vertical Mining of Maximal Sequential Patterns
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    Chapter 9 A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm
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    Chapter 10 Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes
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    Chapter 11 Use of Ontology and Cluster Ensembles for Geospatial Clustering Analysis
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    Chapter 12 Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis
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    Chapter 13 Task Oriented Privacy Preserving Data Publishing Using Feature Selection
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    Chapter 14 A Consensus Approach for Annotation Projection in an Advanced Dialog Context
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    Chapter 15 Partial Satisfaction Planning under Time Uncertainty with Control on When Objectives Can Be Aborted
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    Chapter 16 Active Learning Strategies for Semi-Supervised DBSCAN
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    Chapter 17 Learning How Productive and Unproductive Meetings Differ
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    Chapter 18 Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms
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    Chapter 19 Text Representation Using Multi-level Latent Dirichlet Allocation
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    Chapter 20 A Comparison of h 2 and MMM for Mutex Pair Detection Applied to Pattern Databases
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    Chapter 21 Ensemble of Multiple Kernel SVM Classifiers
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    Chapter 22 Combining Textual Pre-game Reports and Statistical Data for Predicting Success in the National Hockey League
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    Chapter 23 Using Ensemble of Bayesian Classifying Algorithms for Medical Systematic Reviews
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    Chapter 24 Complete Axiomatization and Complexity of Coalition Logic of Temporal Knowledge for Multi-agent Systems
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    Chapter 25 Experts and Machines against Bullies: A Hybrid Approach to Detect Cyberbullies
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    Chapter 26 Towards a Tunable Framework for Recommendation Systems Based on Pairwise Preference Mining Algorithms
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    Chapter 27 Belief Change and Non-deterministic Actions
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    Chapter 28 Robust Features for Detecting Evasive Spammers in Twitter
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    Chapter 29 Gene Reduction for Cancer Classification Using Cascaded Neural Network with Gene Masking
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    Chapter 30 Polynomial Multivariate Approximation with Genetic Algorithms
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    Chapter 31 Improving Word Embeddings via Combining with Complementary Languages
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    Chapter 32 A Clustering Density-Based Sample Reduction Method
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    Chapter 33 The Use of NLP Techniques in Static Code Analysis to Detect Weaknesses and Vulnerabilities
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    Chapter 34 Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics
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    Chapter 35 Inferring Road Maps from Sparsely-Sampled GPS Traces
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    Chapter 36 Heterogeneous Multi-Population Cultural Algorithm with a Dynamic Dimension Decomposition Strategy
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    Chapter 37 Toward a Computational Model for Collective Emotion Regulation Based on Emotion Contagion Phenomenon
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    Chapter 38 Effects of Frequency-Based Inter-frame Dependencies on Automatic Speech Recognition
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    Chapter 39 Social Media Corporate User Identification Using Text Classification
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    Chapter 40 Convex Cardinality Restricted Boltzmann Machine and Its Application to Pattern Recognition
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    Chapter 41 Task Oriented Privacy (TOP) Technologies
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    Chapter 42 Graph-Based Domain-Specific Semantic Relatedness from Wikipedia
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    Chapter 43 Semantic Management of Scholarly Literature: A Wiki-Based Approach