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AAAI
2004
15 years 8 months ago
Regrets Only! Online Stochastic Optimization under Time Constraints
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
Russell Bent, Pascal Van Hentenryck
EMNLP
2006
15 years 8 months ago
Relevance Feedback Models for Recommendation
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Masao Utiyama, Mikio Yamamoto
ICONIP
2004
15 years 8 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber
FLAIRS
2003
15 years 8 months ago
An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
Boris Brandherm
WSC
2001
15 years 8 months ago
Reducing input parameter uncertainty for simulations
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
Szu Hui Ng, Stephen E. Chick