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» Measuring Complexity of Intelligent Machines
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ICMLA
2008
14 years 11 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
ML
2006
ACM
14 years 9 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
IAT
2009
IEEE
15 years 4 months ago
Automated Web Site Evaluation - An Approach Based on Ranking SVM
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service beca...
Peng Li, Seiji Yamada
KI
2009
Springer
15 years 4 months ago
Comparing Two Approaches for the Recognition of Temporal Expressions
Temporal expressions are important structures in natural language. In order to understand text, temporal expressions have to be extracted and normalized. In this paper we present a...
Oleksandr Kolomiyets, Marie-Francine Moens