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WSC
2001
15 years 5 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
ICML
2010
IEEE
15 years 5 months ago
Dynamical Products of Experts for Modeling Financial Time Series
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Yutian Chen, Max Welling
ISCAS
2006
IEEE
92views Hardware» more  ISCAS 2006»
15 years 10 months ago
Model of a true random number generator aimed at cryptographic applications
— The paper presents a simple stochastic model of a True Random Number Generator, which extracts randomness from the tracking jitter of a phase-locked loop. The existence of such...
Martin Simka, Milos Drutarovský, Viktor Fis...
123
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ICMLA
2008
15 years 5 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
ACL
2001
15 years 5 months ago
Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
Fredy A. Amaya, José-Miguel Benedí