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WSC
1998
15 years 8 months ago
GMSim: A Tool for Compositional GSMP Modeling
The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
Frode B. Nilson
NIPS
1997
15 years 8 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
AIPS
2009
15 years 7 months ago
A Human-Aware Robot Task Planner
The growing presence of household robots in inhabited environments arises the need for new robot task planning techniques. These techniques should take into consideration not only...
Marcello Cirillo, Lars Karlsson, Alessandro Saffio...
ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ANOR
2010
120views more  ANOR 2010»
15 years 6 months ago
Stochastic models for risk estimation in volatile markets: a survey
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...