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» Learning classifiers from only positive and unlabeled data
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WWW
2004
ACM
14 years 8 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
ALT
2006
Springer
14 years 4 months ago
Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama
FUIN
2006
107views more  FUIN 2006»
13 years 7 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
MM
2006
ACM
218views Multimedia» more  MM 2006»
14 years 1 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
BMCBI
2007
118views more  BMCBI 2007»
13 years 7 months ago
A topological algorithm for identification of structural domains of proteins
Background: Identification of the structural domains of proteins is important for our understanding of the organizational principles and mechanisms of protein folding, and for ins...
Frank Emmert-Streib, Arcady R. Mushegian