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» Optimal Monte Carlo Algorithms
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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 9 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
CAV
2005
Springer
133views Hardware» more  CAV 2005»
15 years 8 months ago
On Statistical Model Checking of Stochastic Systems
Statistical methods to model check stochastic systems have been, thus far, developed only for a sublogic of continuous stochastic logic (CSL) that does not have steady state operat...
Koushik Sen, Mahesh Viswanathan, Gul Agha
WSC
2007
15 years 5 months ago
Estimating tranche spreads by loss process simulation
A credit derivative is a path dependent contingent claim on the aggregate loss in a portfolio of credit sensitive securities. We estimate the value of a credit derivative by Monte...
Kay Giesecke, Baeho Kim
ASUNAM
2010
IEEE
15 years 4 months ago
Fast Discovery of Reliable Subnetworks
Abstract--We present a novel and efficient algorithm, PATH COVERING, for solving the most reliable subgraph problem. A reliable subgraph gives a concise summary of the connectivity...
Petteri Hintsanen, Hannu Toivonen, Petteri Sevon
WSC
2004
15 years 4 months ago
Efficient Pricing of Barrier Options with the Variance-Gamma Model
We develop an efficient Monte Carlo algorithm for pricing barrier options with the variance gamma model (Madan, Carr, and Chang 1998). After generalizing the double-gamma bridge s...
Athanassios N. Avramidis