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» Complexities for generalized models of self-assembly
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CAISE
1999
Springer
15 years 8 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska
CVPR
1999
IEEE
16 years 6 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 4 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
TNN
2010
216views Management» more  TNN 2010»
14 years 11 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
129
Voted
AI
2009
Springer
15 years 9 months ago
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the comple...
Yang Xiang, Zoe Jingyu Zhu, Yu Li