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AAAI
2006
13 years 7 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
EDOC
2002
IEEE
13 years 10 months ago
Business Modelling for Component Systems with UML
The EC funded COMBINE Project has the objective of dramatically improving software development productivity by providing a holistic approach to component-based development of Ente...
Sandy Tyndale-Biscoe, Oliver Sims, Bryan Wood, Chr...
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
14 years 5 months ago
ARCube: supporting ranking aggregate queries in partially materialized data cubes
Supporting ranking queries in database systems has been a popular research topic recently. However, there is a lack of study on supporting ranking queries in data warehouses where...
Tianyi Wu, Dong Xin, Jiawei Han
NIPS
2004
13 years 7 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
IJCAI
2007
13 years 7 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato