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» Learning From Ambiguous Examples
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GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 6 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
CORR
2010
Springer
156views Education» more  CORR 2010»
15 years 3 months ago
Imitation learning of motor primitives and language bootstrapping in robots
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
Thomas Cederborg, Pierre-Yves Oudeyer
130
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ECTEL
2007
Springer
15 years 11 months ago
ALOE - A Socially Aware Learning Resource and Metadata Hub
The changing nature of e-Learning, the Web, and its users that can be observed in the last years results in a need for new approaches and technologies to fully exploit the existing...
Martin Memmel, Rafael Schirru
CIKM
2011
Springer
14 years 5 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
233
Voted

Book
778views
17 years 3 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...