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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 8 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 8 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...
KDD
2001
ACM
141views Data Mining» more  KDD 2001»
16 years 8 months ago
Induction of semantic classes from natural language text
Many applications dealing with textual information require classification of words into semantic classes (or concepts). However, manually constructing semantic classes is a tediou...
Dekang Lin, Patrick Pantel
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
16 years 2 months ago
Towards Context Aware Food Sales Prediction
Sales prediction is a complex task because of large number of factors affecting the demand. We present a context aware sales prediction approach, which selects the base predictor ...
Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy
PKDD
2009
Springer
92views Data Mining» more  PKDD 2009»
16 years 2 months ago
A Generic Approach to Topic Models
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
Gregor Heinrich