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» Introduction to Causal Inference
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ICML
2005
IEEE
14 years 11 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
CVPR
2010
IEEE
14 years 7 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
IPPS
2006
IEEE
14 years 4 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
FORMATS
2005
Springer
14 years 4 months ago
Time Supervision of Concurrent Systems Using Symbolic Unfoldings of Time Petri Nets
Monitoring real-time concurrent systems is a challenging task. In this paper we formulate (model-based) supervision by means of hidden state history reconstruction, from event (e.g...
Thomas Chatain, Claude Jard
ATAL
2007
Springer
14 years 2 months ago
Workflow coordination for service-oriented multiagent systems
From a multiagent viewpoint, a workflow is a dynamic set of tasks performed by a set of agents to reach a shared goal. We show herein that commitments among agents can be used to ...
Jiangbo Dang, Jingshan Huang, Michael N. Huhns