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156
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ICDCS
2010
IEEE
15 years 7 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
240
Voted
CSB
2004
IEEE
208views Bioinformatics» more  CSB 2004»
15 years 7 months ago
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures
Motivation: Since the whole genome sequences for many species are currently available, computational predictions of RNA secondary structures and computational identifications of t...
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
138
Voted
NIPS
1993
15 years 5 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
128
Voted
CORR
2010
Springer
77views Education» more  CORR 2010»
15 years 3 months ago
Stochastic Analysis of Non-slotted Aloha in Wireless Ad-Hoc Networks
: In this paper we propose two analytically tractable stochastic models of non-slotted Aloha for Mobile Ad-hoc NETworks (MANETs): one model assumes a static pattern of nodes while ...
Bartek Blaszczyszyn, Paul Mühlethaler
136
Voted
CORR
2006
Springer
125views Education» more  CORR 2006»
15 years 3 months ago
Barriers and local minima in energy landscapes of stochastic local search
: A local search algorithm operating on an instance of a Boolean constraint satisfaction problem (in particular, k-SAT) can be viewed as a stochastic process traversing successive ...
Petteri Kaski