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Recurso libre

Genetic Algorithms Principles Towards Hidden Markov Model
Nabil M. Hewahi; Islamic University of Gaza, Palestine

Formato:	Peer-reviewed Article
Enlaces:	In this paper we propose a general approach based on Genetic Algorithms (GAs) to evolve Hidden Markov Models (HMM). The problem appears when experts assign probability values for HMM, they use only some limited inputs. The assigned probability values might…
Fecha:	2011-10-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System
Nitin Balaji Bilgi; Gogte Institute of Technology,Udyambag, Belgaum - R. V. Kulkarni; Chh. Shahu Central Institute of Business Education and Research SIBER, Kolhapur

Formato:	Peer-reviewed Article
Enlaces:	The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand.…
Fecha:	2011-10-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Neuroevolution Mechanism for Hidden Markov Model
Nabil M. Hewahi; Bahrain University

Formato:	Works in progress, Discussions
Enlaces:	Hidden Markov Model (HMM) is a statistical model based on probabilities. HMM is becoming one of the major models involved in many applications such as natural languageprocessing, handwritten recognition, image processing, prediction systems and many more. In this research we…
Fecha:	2011-12-28
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience