627 search results - page 71 / 126 » Kolmogorov-Loveland Randomness and Stochasticity |
WSC
2004
13 years 9 months ago
2004
We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and expl...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
INFOCOM
1994
IEEE
13 years 11 months ago
1994
IEEE
In this paper, we introduce a deterministic fluid model and two stochastic traffic models for wireless networks. The setting is a highway with multiple entrances and exits. Vehicl...
CISSE
2007
Springer
13 years 11 months ago
2007
Springer
Abstract- This paper explores valuing long-term equity forwardcontracts or futures where both the underlying volatility and the interest rates are modeled as stochastic random vari...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...