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WSC
2001
15 years 7 months ago
Monte Carlo simulation approach to stochastic programming
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
Alexander Shapiro
SIGMOD
1993
ACM
163views Database» more  SIGMOD 1993»
15 years 10 months ago
The LRU-K Page Replacement Algorithm For Database Disk Buffering
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...
ICALP
2000
Springer
15 years 10 months ago
A Matrix-based Method for Analysing Stochastic Process Algebras
This paper demonstrates how three stochastic process algebras can be mapped on to a generally-distributed stochastic transition system. We demonstrate an aggregation technique on ...
Jeremy T. Bradley, N. J. Davies
ICML
2006
IEEE
16 years 7 months ago
Accelerated training of conditional random fields with stochastic gradient methods
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
MP
2002
93views more  MP 2002»
15 years 6 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...