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MLDM
2007
Springer
14 years 1 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
DIAGRAMS
2004
Springer
14 years 1 months ago
Bayesian Boxes: A Colored Calculator for Picturing Posteriors
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Kevin Burns
AINA
2007
IEEE
13 years 11 months ago
Conflict Detection and Resolution in Context-Aware Authorization
Pervasive computing environments introduce new requirements in expressiveness and flexibility of access control policies which are almost addressable leveraging contextual informa...
Amir Reza Masoumzadeh, Morteza Amini, Rasool Jalil...
JCP
2008
104views more  JCP 2008»
13 years 7 months ago
Discovery of Sequential Patterns Coinciding with Analysts' Interests
This paper proposes a new sequential pattern mining method. The method introduces a new evaluation criterion satisfying the Apriori property. The criterion is calculated by the fre...
Shigeaki Sakurai, Youichi Kitahara, Ryohei Orihara...
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 2 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun