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» Optimal Monte Carlo Algorithms
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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
14 years 4 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»
14 years 3 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
14 years 15 days 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
13 years 11 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
13 years 11 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