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ECML
2007
Springer
15 years 10 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
COLT
1994
Springer
15 years 8 months ago
Rigorous Learning Curve Bounds from Statistical Mechanics
In this paper we introduce and investigate a mathematically rigorous theory of learning curves that is based on ideas from statistical mechanics. The advantage of our theory over ...
David Haussler, H. Sebastian Seung, Michael J. Kea...
ICML
2005
IEEE
16 years 5 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne
ICALT
2005
IEEE
15 years 10 months ago
Intelligent Learning Environment: Building Hybrid System from Standard Application and Web Application
In this paper, we explore the idea of Intelligent Learning Environment (ILE) by building a system for teaching and learning music in a web-based environment. Our system is a frame...
Keh-Siong Chee, Somnuk Phon-Amnuaisuk
COLT
1999
Springer
15 years 8 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...