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» Models for Incomplete and Probabilistic Information
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IJCAI
2003
15 years 14 days ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
CIA
2006
Springer
15 years 2 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 5 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
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ECIR
2009
Springer
15 years 8 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft
DELTA
2010
IEEE
15 years 4 months ago
A More Precise Model of Noise Based PCMOS Errors
—In this paper we present a new model for characterization of probabilistic gates. While still not mainstream, probabilistic CMOS has the potential to dramatically reduce energy ...
Arun Bhanu, Mark S. K. Lau, Keck Voon Ling, Vincen...