Hidden Markov tree

A trend analysis strategy is proposed that takes advantage of the wavelet-domain hidden Markov trees (HMTs) for constructing statistical models of wavelets (see Section 6.5). Figure 7.10 depicts the strategy that can be used to detect and classify faulty (abnormal) situations. As before, in the training phase, time series data collected under various conditions are... 

Inductive logic programming (ILP) is not a pharmacophore generation method by itself, but a subfield of the machine learning approach. In this field, other methods such as hidden Markov models, Bayesian learning, decision trees and logic programs are available. 

JK Romberg, H Choi, and RG Baraniuk. Bayesian tree structured image modeling using wavelet-domain hidden Markov models. IEEE Trans, on Image Processing, 10 1056-1068, 2001. 

A finite automaton with transition probabilities represents a distribution over the set of all strings defined over a finite alphabet. The articles [18, 24] present a survey and a study of the relations and properties of probabilistic finite-automata and tree. The article [10] clarifies the links between probabilistic automata and Hidden Markov Models (HMM). In a first part of this work, the authors present ... 

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