Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Description
The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.
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Content
Investigation of Random Subspace and Random Forest Regression Models Using Data with Injected Noise.- A Genetic Algorithm vs. Local Search Methods for Solving the Orienteering Problem in Large Networks.- Dynamic Structure of Volterra-Wiener Filter for Reference Signal Cancellation in Passive Radar.- A Web Browsing Cognitive Model.- Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches.- Set-Based Detection and Isolation of Intersampled Delays and Pocket Dropouts in Networked Control.- Analysis and Synthesis of the System for Processing of Sign Language Gestures and Translation of Mimic Subcode in Communication with Deaf People.- Prediction of Software Quality Based on Variables from the Development Process.- Mining High Performance Managers Based on the Results of Psychological Tests.- Semantics Preservation in Schema Mappings within Data Exchange Systems.- Multi-relational Learning for Recommendation of Matches between Semantic Structures.- Semantically Enhanced Text Stemmer (SETS) for Cross-Domain Document Clustering.- Ontology Recomposition.- Structured Construction of Knowledge Repositories with MetaConcept.- Association between Teleology and Knowledge Mapping.- Boosting Retrieval of Digital Spoken Content.- Constructing the Integral OLAP-Model for Scientific Activities Based on FCA.- Reasoning about Dialogical Strategies.- Low-Cost Computer Vision Based Automatic Scoring of Shooting Targets.- Using Bookmaker Odds to Predict the Final Result of Football Matches.
