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» Selection of Generative Models in Classification
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DAC
1998
ACM
15 years 10 months ago
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability
Abstract-Our strategy for automatic generation of functional vectors is based on exercising selected paths in the given hardware description language (HDL) model. The HDL model des...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer
AUSAI
2008
Springer
14 years 11 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
DOCENG
2007
ACM
15 years 1 months ago
Elimination of junk document surrogate candidates through pattern recognition
A surrogate is an object that stands for a document and enables navigation to that document. Hypermedia is often represented with textual surrogates, even though studies have show...
Eunyee Koh, Daniel Caruso, Andruid Kerne, Ricardo ...
AUSAI
1999
Springer
15 years 2 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
MVA
1990
133views Computer Vision» more  MVA 1990»
14 years 11 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth