probabilistic model
41Cellular Potts model — The cellular Potts model is a lattice based computational modeling method to simulate the collective behavior of cellular structures. Other names for the CPM are extended large q Potts model and Glazier and Graner model. First developed by James… …
42Latent class model — In statistics, a latent class model (LCM) relates a set of observed discrete multivariate variables to a set of latent variables. It is a type of latent variable model. It is called a latent class model because the latent variable is discrete. A… …
43Maximum-entropy Markov model — MEMM redirects here. For the German Nordic combined skier, see Silvio Memm. In machine learning, a maximum entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features of hidden …
44transition probability model — A model to account for the apparently random variation in cell cycle time between individual animal tissue cells in culture, that postulates that transition from G1 to S phase is probabilistic. Contrasts with hypotheses that require the… …
45Mental model theory of reasoning — Introduction The mental model theory of reasoning was developed by Philip Johnson Laird and Ruth M.J. Byrne (Johnson Laird and Byrne, 1991). It has been applied to the main domains of deductive inference including relational inferences such as… …
46knowledge representation model — žinių vaizdavimo modelis statusas T sritis dirbtinis intelektas apibrėžtis Žinių, kurias numatoma laikyti žiniomis grindžiamoje sistemoje, formalių kodavimo priemonių visuma. pavyzdys( iai) Produkcinės taisyklės (angl. production rules);… …
47Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… …
48Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… …
49Affective tutoring systems — (ATS) It is believed that Intelligent Tutoring Systems (ITSs) would be significantly enhanced if computers could adapt in response to the emotions of students (Picard, 1997; Kort, Reilly and Picard, 2001; Alexander and Sarrafzadeh, 2004). This is …
50Entropy (information theory) — In information theory, entropy is a measure of the uncertainty associated with a random variable. The term by itself in this context usually refers to the Shannon entropy, which quantifies, in the sense of an expected value, the information… …
