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NIPS
1997
15 years 7 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
162
Voted
JUCS
2008
139views more  JUCS 2008»
15 years 6 months ago
A Progressive Learning Method for Symbol Recognition
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
Sabine Barrat, Salvatore Tabbone
145
Voted
ADHOC
2004
113views more  ADHOC 2004»
15 years 6 months ago
Distributed protocols for ad hoc wireless LANs: a learning-automata-based approach
An ad hoc learning-automata-based protocol for wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, ...
Petros Nicopolitidis, Georgios I. Papadimitriou, A...
170
Voted
KAIS
2007
75views more  KAIS 2007»
15 years 6 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
INFSOF
1998
72views more  INFSOF 1998»
15 years 6 months ago
Validation of measurement software as an application of slicing and constraint solving
We show how to combine program slicing and constraint solving in order to obtain better slice accuracy. The method is used in the VALSOFT slicing system. One particular applicatio...
Jens Krinke, Gregor Snelting