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SMR
2010
149views more  SMR 2010»
15 years 5 months ago
Capturing variability in business process models: the Provop approach
Usually, for a particular business process different variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the proc...
Alena Hallerbach, Thomas Bauer, Manfred Reichert
ANLP
1994
80views more  ANLP 1994»
15 years 8 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
148
Voted
CP
2007
Springer
16 years 26 days ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
CGI
2003
IEEE
15 years 12 months ago
An Efficient Mesh Simplification Method with Feature Detection for Unstructured Meshes and Web Graphics
This paper presents an efficient method of mesh simplification for geometric 3D models. The transmission of 3D models on the Internet is an important task. The data size of a 3D m...
Bing-Yu Chen, Tomoyuki Nishita
WSC
2000
15 years 8 months ago
Tire model for simulations of vehicle motion on high and low friction road surfaces
An on-road analytical tire model has been developed to predict tire forces and moments at the tire/road interface. The model is computationally efficient and it only requires a li...
James Lacombe
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