Topic: Markov Model
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What is hidden Markov model?
( ¦hid·ən ′mär·kəf ′mäd·əl ) (mathematics) A finite-state machine that is also a doubly stochastic process involving at least two levels of uncertainty: a random process associated with each state, and a Markov chain, which characterizes th... Read More »
Source: http://www.answers.com/topic/hidden-markov-model
What is Markov-based model?
( ′mär′köf ′bāst ′mäd·əl ) (computer science) A model that represents a computer system by a Markov chain, which represents the set of all possible states of the system, with the possible transitions between these states. Read More »
Source: http://www.answers.com/topic/markov-based-model
What is Markov chain, Markov model?
A mathematical model that makes it possible to study complex systems by establishing a state of the system and then effecting a transition to a new state, such a transition being dependent only on the values of the current state, and not de... Read More »
Source: http://www.answers.com/topic/markov-chain-markov-model
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Model of brand loyalty that mathematically forecasts future market share based on current rates of purchase and repurchase. For example, upon establishing that the first 100 consumers to purchase a new product show a 70% rate of repurchase ...
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Source: http://www.answers.com/topic/markov-process-model
We thank Byrnes for his interest in our model evaluating the cost- effectiveness of H.pylori eradication in non-ulcer dyspepsia. We agree that a geometric failure model is an equally valid description of our simple Markov model. Different a...
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Source: http://www.bmj.com/content/321/7262/659/reply
qa let steady state of being client of company #1 be p, then 0.8p + 0.7(1-p) = p p = 7/9 <---------- qb expected time taken to switch from company #1 to #2 N = 1*0.2 + 2*0.8*0.2 + 3*0.8^2 *0.2 +......... 0.8N = ....... 1*0.8*0.2 + 2*0.8^2*0...
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Source: http://answers.yahoo.com/question/index?qid=20111027193001AADkJBH
An artificial neural network is a structure which will attempt to find a relationship i.e. a function between the inputs, and the provided output(s), in order that when the net be provided with unseen inputs, and according with the recorded...
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Source: http://wiki.answers.com/Q/What_is_the_difference_between_artifici...
This may not be a formal definition, but when using Markov models for predictive data compression or speech recognition, the order is generally the number of previously seen symbols that are considered when calculating the probabilities for...
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Source: http://www.quora.com/What-does-the-order-mean-for-a-Markov-model
Markov modeling of disability progression in multiple sclerosis requires knowledge of all times of transitions from a given level of disability to the next level, but such data are often missing. We address methodological challenges due to ...
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Source: http://www.medscape.com/medline/abstract/17215588
