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ICML
2009
IEEE
16 years 7 months ago
PAC-Bayesian learning of linear classifiers
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
Alexandre Lacasse, François Laviolette, Mar...
ICML
2005
IEEE
16 years 7 months ago
Learning predictive representations from a history
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
Eric Wiewiora
ALT
2006
Springer
16 years 3 months ago
The Complexity of Learning SUBSEQ (A)
Higman showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. We consider the following inductive inferenc...
Stephen A. Fenner, William I. Gasarch
151
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ICALT
2007
IEEE
16 years 1 months ago
Geographical Concept Recognition With the Octgrid Method for Learning Geography and Geology
Recognizing geographical concepts such as ridges, valleys, and contour lines is an important issue in geography learning. We provide a system for automatic recognition of such con...
Ryusuke Yokoyama, Akira Kureha, Tomoe Motohashi, H...
ICALT
2006
IEEE
16 years 22 days ago
Using Ontologies to Model and Execute IMS Learning Design Documents
This paper briefly describes how ontologies can be used to model, validate and execute IMS Learning Design. The main contribution relies on incorporate the implicit knowledge foun...
Ricardo R. Amorim, Manuel Lama, Eduardo Sán...