Markov Models For Pattern Recognition From Theory To Applications
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Pattern recognition - Wikipedia Pattern recognition is the automated recognition of patterns and regularities in data.Pattern recognition is closely related to artificial intelligence and machine learning, together with applications such as data mining and knowledge discovery in databases (KDD), and is often used interchangeably with these terms. However, these are distinguished: machine learning is one approach to pattern ... Hidden Markov model - Wikipedia Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobservable (i.e. hidden) states.. The hidden Markov model can be represented as the simplest dynamic Bayesian network.The mathematics behind the HMM were developed by L. E. Baum and coworkers. HMM is closely related to earlier work on the optimal nonlinear ... Dr. Zdravko Markov - Computer Science Talks, tutorials. Ingrid Russell, Zdravko Markov. An Introduction to the Weka Data Mining System. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2017), Seattle, WA, USA, March 8-11, 2017.
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