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New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification
Published 2009“…This study investigates the use discriminative training methods of minimum classification error (MCE) to estimate the parameter of hidden Markov model (HMM). The conventional training of HMM is based on the maximum likelihood estimation (MLE) which aims to model the true probabilistic distribution of the data in term of maximizing the likelihood. …”
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Monograph -
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Development of real-time embedded system with speech recognition for smart house
Published 2007“…The hidden Markov model is used for the acoustic modeling of the speech recognition system. …”
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Monograph -
4
Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
Published 2019“…Earlier studies in the handwriting recognition field were mostly focused on recognizing characters using Neural Network Language Model (NNLM) classifier, Hidden Markov Model (HMM), and Support Vector Machine (SVM) with segmentation technique, Hough Transform method, and structural features. …”
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Monograph -
5
Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis
Published 2021“…For learning and predicting the event patterns, dynamic Bayesian network (DBN) with Hidden Markov Model (HMM) and heuristic search learning algorithms have been a popular technique used in which structure learning is trained to classify complex events pattern. …”
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Monograph -
6
Classifying Indian Classical Dances By Motion Posture Patterns
Published 2019“…The most common method used is the Hidden Markov Models (HMM), apart from using the correlation matrix method and hierarchical cluster analysis. …”
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Monograph