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» The covering number in learning theory
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NIPS
2001
13 years 8 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
BMCBI
2010
214views more  BMCBI 2010»
13 years 7 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
ALT
2006
Springer
13 years 11 months ago
Learning and Extending Sublanguages
A number of natural models for learning in the limit is introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a par...
Sanjay Jain, Efim B. Kinber
LPKR
1997
Springer
13 years 11 months ago
A System for Abductive Learning of Logic Programs
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
CADE
2007
Springer
14 years 7 months ago
MaLARea: a Metasystem for Automated Reasoning in Large Theories
MaLARea (a Machine Learner for Automated Reasoning) is a simple metasystem iteratively combining deductive Automated Reasoning tools (now the E and the SPASS ATP systems) with a m...
Josef Urban