In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs...
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...
We describe an algebra for composing automata in which the actions have probabilities. We illustrate by showing how to calculate the probability of reaching deadlock in k steps in...
Luisa de Francesco Albasini, Nicoletta Sabadini, R...
As CMOS devices are scaled down into the nanometer regime, concerns about reliability are mounting. Instead of viewing nanoscale characteristics as an impediment, technologies suc...
Weikang Qian, Marc D. Riedel, Kia Bazargan, David ...
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events,...
Daniel Berleant, Olga Kosheleva, Vladik Kreinovich...
We consider the problem of dynamic reorganization of a linear list, where requests for the elements are generated randomly with fixed, unknown probabilities. The objective is to ...
Probability forecasters who are rewarded via a proper scoring rule may care not only about the score, but also about their performance relative to other forecasters. We model this...
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or set-valued). This is a fundamental pro...
In this paper the concept of later waiting time distributions for patterns in multi-state trials is generalized to cover a collection of compound patterns that must all be counted...