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SMR
2010
149views more  SMR 2010»
15 years 3 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
AAAI
2000
15 years 6 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
ICML
2009
IEEE
16 years 5 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
DATE
2009
IEEE
149views Hardware» more  DATE 2009»
15 years 11 months ago
High level H.264/AVC video encoder parallelization for multiprocessor implementation
— H.264/AVC (Advanced Video Codec) is a new video coding standard developed by a joint effort of the ITU-TVCEG and ISO/IEC MPEG. This standard provides higher coding efficiency r...
Hajer K. Zrida, Abderrazek Jemai, Ahmed C. Ammari,...
157
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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 11 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp