at different levels of abstraction. There are two very different ways of using such languages. One approach is based on the manifestation of a single model, with construction of di...
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
CHOPRA, AMIT KHUSHWANT. Nonmonotonic Commitment Machines. (Under the direction of Dr. Munindar P. Singh). Protocols in open and dynamic multiagent systems cannot be modeled via fo...
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). B...
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...