Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
Abstract. The paradigms of service-oriented computing and modeldriven development are becoming of increasing importance in the field of software engineering. According to these par...
Natallia Kokash, Christian Krause, Erik P. de Vink
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Analog and hybrid computation methods are areas of continued interest, particularly in specific applications where traditional digital computation techniques cannot achieve the de...
—The focus of the work in this paper is the construction and analysis of a dynamical system model for human decision making in sequential two-choice tasks. In these tasks, a huma...