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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 3 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
CIKM
2008
Springer
13 years 11 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
IJPRAI
2006
114views more  IJPRAI 2006»
13 years 9 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
ISDA
2009
IEEE
14 years 3 months ago
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
Nikola Trcka, Mykola Pechenizkiy