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» Learning from Highly Structured Data by Decomposition
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DAGM
2004
Springer
15 years 9 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
COOPIS
1998
IEEE
15 years 8 months ago
Context Mediation on Wall Street
This paper reports on a practical implementation of a context mediator for the fixed income securities industry. We describe industry circumstances and the data and calculation se...
Allen Moulton, Stuart E. Madnick, Michael Siegel
ICML
2004
IEEE
16 years 5 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
APVIS
2007
15 years 5 months ago
A comparison of vertex ordering algorithms for large graph visualization
In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
NAACL
2003
15 years 5 months ago
A Web-Trained Extraction Summarization System
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...
Liang Zhou, Eduard H. Hovy