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» Combining Simple Models to Approximate Complex Dynamics
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UAI
2004
14 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
CDC
2008
IEEE
15 years 4 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
IJCV
2010
168views more  IJCV 2010»
14 years 8 months ago
Baselines for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have b...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
FGCS
2007
125views more  FGCS 2007»
14 years 10 months ago
An autonomic tool for building self-organizing Grid-enabled applications
In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
Gianluigi Folino, Giandomenico Spezzano
CORR
2008
Springer
154views Education» more  CORR 2008»
14 years 10 months ago
Sponsored Search Auctions with Markovian Users
Abstract. Sponsored search involves running an auction among advertisers who bid in order to have their ad shown next to search results for specific keywords. The most popular auct...
Gagan Aggarwal, Jon Feldman, S. Muthukrishnan, Mar...