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» Modelling decision making with probabilistic causation
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CIKM
2010
Springer
13 years 6 months ago
Ranking under temporal constraints
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
Lidan Wang, Donald Metzler, Jimmy Lin
IJCNN
2006
IEEE
14 years 1 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
IJCAI
2007
13 years 9 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
PAMI
2002
157views more  PAMI 2002»
13 years 7 months ago
Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy
A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a Recognition and Verification strategy. The approach...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
WECWIS
1999
IEEE
102views ECommerce» more  WECWIS 1999»
13 years 12 months ago
Monitoring and Prediction of Network Performance
Analysis of network and application pegormance is traditionally based on mathematical models derived from first principles. Such models are usually complex, diflcult to use, and d...
Bjorn Frogner, Alexander B. Cannara