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» Sampling Bounds for Stochastic Optimization
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FOCM
2006
50views more  FOCM 2006»
13 years 9 months ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao
CCE
2004
13 years 9 months ago
New measures and procedures to manage financial risk with applications to the planning of gas commercialization in Asia
This paper presents some new concepts and procedures for financial risk management. To complement the use of value at risk a new concept, upside potential or opportunity value as ...
Ahmed Aseeri, Miguel J. Bagajewicz
ICPR
2008
IEEE
14 years 4 months ago
Layered shape matching and registration: Stochastic sampling with hierarchical graph representation
To automatically register foreground target in cluttered images, we present a novel hierarchical graph representation and a stochastic computing strategy in Bayesian framework. Th...
Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbi...
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
14 years 2 months ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria
WSC
2001
13 years 11 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