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TSP
2008
132views more  TSP 2008»
15 years 6 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
15 years 5 months ago
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
— We consider the task of accurately controlling a complex system, such as autonomously sliding a car sideways into a parking spot. Although certain regions of this domain are ex...
J. Zico Kolter, Christian Plagemann, David T. Jack...
CJ
2010
131views more  CJ 2010»
15 years 3 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
ICCPOL
2009
Springer
16 years 1 months ago
Probabilistic Methods for a Japanese Syllable Cipher
This paper attacks a Japanese syllable-substitution cipher. We use a probabilistic, noisy-channel framework, exploiting various Japanese language models to drive the decipherment. ...
Sujith Ravi, Kevin Knight
NAACL
2007
15 years 8 months ago
Multi-Document Relationship Fusion via Constraints on Probabilistic Databases
Previous multi-document relationship extraction and fusion research has focused on single relationships. Shifting the focus to multiple relationships allows for the use of mutual ...
Gideon Mann