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124
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 1 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
WWW
2009
ACM
16 years 1 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
107
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 1 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
144
Voted
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 1 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
16 years 1 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman