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CIKM
1997
Springer
15 years 10 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
VVS
1996
IEEE
98views Visualization» more  VVS 1996»
15 years 10 months ago
Classification and Local Error Estimation of Interpolation and Derivative Filters for Volume Rendering
We describe a new method for analyzing, classifying, and evaluating filters, which can be applied to interpolation filters, and derivative filters. Our analysis is based on the Ta...
Torsten Möller, Raghu Machiraju, Klaus Muelle...
INFOCOM
1992
IEEE
15 years 10 months ago
An Assessment of State and Lookup Overhead in Routers
The current Internet is based on a stateless (datagram) architecture. However, many recent proposals rely on the maintenance of state information within network routers, leading t...
Deborah Estrin, Danny J. Mitzel
BIRD
2007
Springer
168views Bioinformatics» more  BIRD 2007»
15 years 10 months ago
Ontology-Based MEDLINE Document Classification
Abstract. An increasing and overwhelming amount of biomedical information is available in the research literature mainly in the form of free-text. Biologists need tools that automa...
Fabrice Camous, Stephen Blott, Alan F. Smeaton
CIKM
2009
Springer
15 years 10 months ago
Multidimensional political spectrum identification and analysis
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
Leilei Zhu, Prasenjit Mitra