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...
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...
— 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...
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...
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