Hidden Markov models: past, present, and future

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Simulation of Future Land Use Map of the Catchment Area, with the Integration of Cellular Automata and Markov Chain Models Based on Selection of the Best Classification Algorithm: A Case Study of Fakhrabad Basin of Mehriz, Yazd

INTRODUCTION Since the land use change affects many natural processes including soil erosion and sediment yield, floods and soil degradation and the chemical and physical properties of soil, so, different aspects of land use changes in the past and future should be considered particularly in the planning and decision-making. One of the most important applications of remote sensing is land ...