Table of Contents
Empirical Analysis of Computational Intelligence Algorithms
CI Methods for Music Information Retrieval
Development of AMUSE (Advanced MUSic Explorer)
Empirical Analysis of Computational Intelligence Algorithms
Evolutionary algorithms
Swarm intelligence
Multiobjective optimization
CI methods for data mining
CI Methods for Music Information Retrieval
Optimization of music classification chain
Intelligent feature selection methods
Learning of personal music categories
Fuzzy methods using high-level feature analysis
Development of AMUSE (Advanced MUSic Explorer)
Java open source framework for different MIR tasks
Multi-tool extendable environment with shared interfaces and data interchange formats
Algorithm evaluation and optimization methods