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NIPS
2003
13 years 9 months ago
Link Prediction in Relational Data
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...
CONCUR
2010
Springer
13 years 8 months ago
Conditional Automata: A Tool for Safe Removal of Negligible Events
Abstract. Polynomially accurate simulations [19] are relations for Probabilistic Automata that require transitions to be matched up to negligible sets provided that computation len...
Roberto Segala, Andrea Turrini
DSS
2008
83views more  DSS 2008»
13 years 7 months ago
Knowledge discovery for adaptive negotiation agents in e-marketplaces
Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negoti...
Raymond Y. K. Lau, Yuefeng Li, Dawei Song, Ron Chi...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 1 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
AMAI
2004
Springer
14 years 1 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee