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SODA
2012
ACM
229views Algorithms» more  SODA 2012»
13 years 8 months ago
Approximation algorithms for stochastic orienteering
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
Anupam Gupta, Ravishankar Krishnaswamy, Viswanath ...
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
16 years 15 hour ago
A continuous time markov decision process based on-chip buffer allocation methodology
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
Sankalp Kallakuri, Nattawut Thepayasuwan, Alex Dob...
CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
15 years 11 months ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas
FORMATS
2006
Springer
15 years 10 months ago
A Characterization of Meaningful Schedulers for Continuous-Time Markov Decision Processes
Abstract. Continuous-time Markov decision process are an important variant of labelled transition systems having nondeterminism through labels and stochasticity through exponential...
Nicolás Wolovick, Sven Johr
APWEB
2005
Springer
15 years 8 months ago
A Neural Network Approach to Web Graph Processing
In this paper, we will provide an overview of some of the more recent developments in web graph processing using the classic Google page rank equation as popularized by Brins and P...
Ah Chung Tsoi, Franco Scarselli, Marco Gori, Marku...