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» Analysis of stochastic dual dynamic programming method
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JCNS
2000
165views more  JCNS 2000»
14 years 11 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
IOR
2002
112views more  IOR 2002»
14 years 11 months ago
Interdisciplinary Meandering in Science
abstract mathematics. My mentor was Professor S. Bochner, a distinguished contributor to harmonic analysis. My classmates included Richard Bellman (who later nurtured the method of...
Samuel Karlin
DCOSS
2005
Springer
15 years 1 months ago
An Adaptive Blind Algorithm for Energy Balanced Data Propagation in Wireless Sensors Networks
In this paper, we consider the problem of energy balanced data propagation in wireless sensor networks and we generalise previous works by allowing realistic energy assignment. A n...
Pierre Leone, Sotiris E. Nikoletseas, José ...
IFM
2009
Springer
124views Formal Methods» more  IFM 2009»
15 years 6 months ago
Dynamic Path Reduction for Software Model Checking
We present the new technique of dynamic path reduction (DPR), which allows one to prune redundant paths from the state space of a program under verification. DPR is a very general...
Zijiang Yang, Bashar Al-Rawi, Karem Sakallah, Xiao...
NIPS
2008
15 years 1 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr