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ICML
2007
IEEE
14 years 8 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
ENTCS
2010
111views more  ENTCS 2010»
13 years 5 months ago
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. ...
Jeremy Singer, Gavin Brown, Mikel Luján, Ad...
NIPS
2008
13 years 9 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
ICML
2006
IEEE
14 years 8 months ago
Online multiclass learning by interclass hypothesis sharing
We describe a general framework for online multiclass learning based on the notion of hypothesis sharing. In our framework sets of classes are associated with hypotheses. Thus, al...
Michael Fink 0002, Shai Shalev-Shwartz, Yoram Sing...
KBSE
2005
IEEE
14 years 1 months ago
Timna: a framework for automatically combining aspect mining analyses
To realize the benefits of Aspect Oriented Programming (AOP), developers must refactor active and legacy code bases into an AOP language. When refactoring, developers first need...
David Shepherd, Jeffrey Palm, Lori L. Pollock, Mar...