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ACL
2010
13 years 5 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
KR
2004
Springer
14 years 1 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
TCBB
2011
13 years 2 months ago
Information-Theoretic Model of Evolution over Protein Communication Channel
—In this paper, we propose a communication model of evolution and investigate its information-theoretic bounds. The process of evolution is modeled as the retransmission of infor...
Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld
SEFM
2003
IEEE
14 years 28 days ago
A Formal Model for Trust in Dynamic Networks
We propose a formal model of trust informed by the Global Computing scenario and focusing on the aspects of trust formation, evolution, and propagation. The model is based on a no...
Marco Carbone, Mogens Nielsen, Vladimiro Sassone
COGSCI
2010
88views more  COGSCI 2010»
13 years 7 months ago
Domain-Creating Constraints
The contributions to this special issue on cognitive development collectively propose ways in which learning involves developing constraints that shape subsequent learning. A lear...
Robert L. Goldstone, David Landy