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ICML
2009
IEEE
14 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
JOI
2007
56views more  JOI 2007»
13 years 9 months ago
Hirsch's h-index: A stochastic model
We propose a simple stochastic model for an author’s production/citation process in order to investigate the recently proposed hindex for measuring an author’s research output...
Quentin L. Burrell
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 8 months ago
A robotic module for stochastic fluidic assembly of 3D self-reconfiguring structures
— Stochastic self-reconfiguring robots are modular robots that possess the ability to autonomously change the arrangement of their modules and do so through the use of nondetermi...
Jonas Neubert, Abraham P. Cantwell, Stephane Const...

Lecture Notes
636views
15 years 8 months ago
Financial Stochastics
This is a long lecture note about Financial Stochastic. It covers several topics such as Martingale Representation, Finite Economies, Black-Scholes Models, American Options, Paymen...
Harry van Zanten
CLEF
2009
Springer
13 years 11 months ago
Simulating Morphological Analyzers with Stochastic Taggers for Confidence Estimation
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark