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» Learning probabilistic models of the Web
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ICDE
2011
IEEE
200views Database» more  ICDE 2011»
14 years 10 months ago
Deriving probabilistic databases with inference ensembles
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
Julia Stoyanovich, Susan B. Davidson, Tova Milo, V...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 12 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
SIGIR
2008
ACM
15 years 6 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 8 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
ISWC
1997
IEEE
15 years 10 months ago
Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers
We propose a practical application of wearable computing and augmented reality which enhances the game of billiards. A vision algorithm is implemented which operates in interactiv...
Tony Jebara, Cyrus Eyster, Joshua Weaver, Thad Sta...