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ICML
2007
IEEE
16 years 4 months ago
Two-view feature generation model for semi-supervised learning
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Rie Kubota Ando, Tong Zhang
COGSR
2011
105views more  COGSR 2011»
14 years 11 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
BMCBI
2011
14 years 11 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
AVI
2000
15 years 5 months ago
Generating User Interface Code in a Model Based User Interface Development Environment
Declarative models play an important role in most software design activities, by allowing designs to be constructed that selectively abstract over complex implementation details. ...
Paulo Pinheiro da Silva, Tony Griffiths, Norman W....
ICEIS
2009
IEEE
15 years 10 months ago
Semi-supervised Information Extraction from Variable-length Web-page Lists
We propose two methods for constructing automated programs for extraction of information from a class of web pages that are very common and of high practical significance - varia...
Daniel Nikovski, Alan Esenther, Akihiro Baba