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ILP
2004
Springer
15 years 12 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
16 years 3 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
CORR
2010
Springer
209views Education» more  CORR 2010»
15 years 3 months ago
Generalized Tree-Based Wavelet Transform
In this paper we propose a new wavelet transform applicable to functions defined on graphs, high dimensional data and networks. The proposed method generalizes the Haar-like transf...
Idan Ram, Michael Elad, Israel Cohen
PAMI
2006
122views more  PAMI 2006»
15 years 6 months ago
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets
This study investigates a level set method for complex polarimetric image segmentation. It consists of minimizing a functional containing an original observation term derived from ...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj