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» Approximate algorithms for neural-Bayesian approaches
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ISNN
2010
Springer
15 years 10 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 10 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
PADS
1999
ACM
15 years 10 months ago
Exploiting Temporal Uncertainty in Parallel and Distributed Simulations
Most work to date in parallel and distributed discrete event simulation is based on assigning precise time stamps to events, and time stamp order event processing. An alternative ...
Richard Fujimoto
SSDBM
1999
IEEE
124views Database» more  SSDBM 1999»
15 years 10 months ago
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases
We address the problem of similarity search in large time series databases. We introduce a novel indexing algorithm that allows faster retrieval. The index is formed by creating b...
Eamonn J. Keogh, Michael J. Pazzani
ICLP
1997
Springer
15 years 10 months ago
Non-Failure Analysis for Logic Programs
We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
Saumya K. Debray, Pedro López-García...