probabilistic model
1probabilistic model — tikimybinis modelis statusas T sritis automatika atitikmenys: angl. probabilistic model vok. Wahrscheinlichkeits Modell, n rus. вероятностная модель, f pranc. modèle stochastique, m ryšiai: sinonimas – stochastinis modelis …
2Probabilistic latent semantic analysis — (PLSA), also known as probabilistic latent semantic indexing (PLSI, especially in information retrieval circles) is a statistical technique for the analysis of two mode and co occurrence data. PLSA evolved from Latent semantic analysis, adding a… …
3Probabilistic CTL — Probabilistic Computation Tree Logic is an extension of CTL which allows for probabilistic quantification of described properties. It has been defined in the paper by [http://citeseer.ist.psu.edu/hansson94logic.html Hansson and Jonsson] .PCTL is… …
4Model — Contents 1 Physical 1.1 Human models 2 Nonphysical 2.1 …
5Model of hierarchical complexity — The model of hierarchical complexity, is a framework for scoring how complex a behavior is. It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized and of information… …
6Model of Hierarchical Complexity — The model of hierarchical complexity is a framework for scoring how complex a behavior is. It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized and of information… …
7Probabilistic forecasting — is a technique for weather forecasting which relies on different methods to establish an event occurrence/magnitude probability. This differs substantially from giving a definite information on the occurrence/magnitude (or not) of the same event …
8Probabilistic encryption — is the use of randomness in an encryption algorithm, so that when encrypting the same message several times it will, in general, yield different ciphertexts. The term probabilistic encryption is typically used in reference to public key… …
9Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …
10Probabilistic Turing machine — Turing machine(s) Machina Universal Turing machine Alternating Turing machine Quantum Turing machine Read only Turing machine Read only right moving Turing Machines Probabilistic Turing machine Multi track Turing machine Turing machine… …
