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ICML
2010
IEEE
13 years 8 months ago
OTL: A Framework of Online Transfer Learning
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
Peilin Zhao, Steven C. H. Hoi
ECML
1998
Springer
13 years 11 months ago
Predicate Invention and Learning from Positive Examples Only
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
Henrik Boström
TCBB
2010
112views more  TCBB 2010»
13 years 2 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
TSMC
2008
84views more  TSMC 2008»
13 years 7 months ago
Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots
We propose a technique to speedup the learning of the inverse kinematics of a robot manipulator by decomposing it into two or more virtual robot arms. Unlike previous decomposition...
Vicente Ruiz de Angulo, Carme Torras
FAC
2008
92views more  FAC 2008»
13 years 7 months ago
Capture-avoiding substitution as a nominal algebra
Substitution is fundamental to the theory of logic and computation. Is substitution something that we define on syntax on a case-by-case basis, or can we turn the idea of substitut...
Murdoch James Gabbay, Aad Mathijssen