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IEAAIE
2004
Springer
15 years 9 months ago
Incremental Induction of Classification Rules for Cultural Heritage Documents
This work presents the application of a first-order logic incremental learning system, INTHELEX, to learn rules for the automatic identification of a wide range of significant docu...
Teresa Maria Altomare Basile, Stefano Ferilli, Nic...
AI
1998
Springer
15 years 8 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
AROBOTS
1999
110views more  AROBOTS 1999»
15 years 3 months ago
Self-Localization of Autonomous Robots by Hidden Representations
We present a framework for constructing representations of space in an autonomous agent which does not obtain any direct information about its location. Instead the algorithm relie...
J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
NIPS
2008
15 years 5 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
124
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COLING
2000
15 years 5 months ago
Automatic Refinement of a POS Tagger Using a Reliable Parser and Plain Text Corpora
This paper proposes a new unsupervised learning method for obtaining English part-ofspecch(POS) disambiguation rules which would improve thc accuracy of a POS tagger. This method ...
Hideki Hirakawa, Kenji Ono, Yumiko Yoshimura