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ECAI
2004
Springer
14 years 24 days ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano
AOIS
2004
13 years 8 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
AMEC
2004
Springer
14 years 25 days ago
Three Automated Stock-Trading Agents: A Comparative Study
Abstract. This paper documents the development of three autonomous stocktrading agents within the framework of the Penn Exchange Simulator (PXS), a novel stock-trading simulator th...
Alexander A. Sherstov, Peter Stone
ICML
2007
IEEE
14 years 8 months ago
On the relation between multi-instance learning and semi-supervised learning
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
Zhi-Hua Zhou, Jun-Ming Xu
ELPUB
2006
ACM
14 years 1 months ago
Living Reviews - Innovative Resources for Scholarly Communication Bridging Diverse Spheres of Disciplines and Organisational Str
This contribution presents the concept and analyses the path of diffusion of an innovative publishing idea that originated in one speciality in physics and is now about to spread ...
Claus Dalchow, Michael Nentwich, Patrick Scherhauf...