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AAAI
2007
15 years 8 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...
AAAI
2007
15 years 8 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
AAAI
2008
15 years 8 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
CORR
2010
Springer
176views Education» more  CORR 2010»
15 years 6 months ago
Abstraction for Epistemic Model Checking of Dining Cryptographers-based Protocols
ion for Epistemic Model Checking of Dining Cryptographers-based Protocols Omar I. Al-Bataineh and Ron van der Meyden School of Computer Science and Engineering, University of New S...
Omar I. Al-Bataineh, Ron van der Meyden
AAAI
2007
15 years 8 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...