probabilistic concept

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• Probabilistic bisimulation — is an extension of the concept of bisimulation for fully probabilistic transition systems.A discrete probabilistic transition system is a triple S = (St,Act, au:St imes Act imes St ightarrow [0,1] ) where au(s,a,t) gives the probability of… …   Wikipedia

• Probabilistic risk assessment — (PRA) (or probabilistic safety assessment/analysis) is a systematic and comprehensive methodology to evaluate risks associated with a complex engineered technological entity (such as airliners or nuclear power plants).Risk in a PRA is defined as… …   Wikipedia

• Probabilistic automaton — In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the non deterministic finite automaton; it includes the probability of a given transition into the transition function, turning it into a transition… …   Wikipedia

• Probabilistic logic — The aim of a probabilistic logic (or probability logic) is to combine the capacity of probability theory to handle uncertainty with the capacity of deductive logic to exploit structure. The result is a richer and more expressive formalism with a… …   Wikipedia

• Conceptual clustering — is a machine learning paradigm for unsupervised classification developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods… …   Wikipedia

• Cobweb (clustering) — COBWEB is an incremental system for hierarchical conceptual clustering. COBWEB incrementally organizes observations into a classification tree. Each node in a classification tree represents a class (concept) and is labeled by a probabilistic… …   Wikipedia

• Life chances — ( Lebenschancen in German) are the opportunities each individual has to improve their quality of life. The concept was introduced by German sociologist Max Weber. It is a probabilistic concept, describing how likely it is, given certain factors,… …   Wikipedia

• Neural modeling fields — Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT),… …   Wikipedia

• automata theory — Body of physical and logical principles underlying the operation of any electromechanical device (an automaton) that converts information input in one form into another, or into some action, according to an algorithm. Norbert Wiener and Alan M.… …   Universalium

• Causality — (but not causation) denotes a necessary relationship between one event (called cause) and another event (called effect) which is the direct consequence (result) of the first. [http://dictionary.reference.com/search?q=Causality x=35 y=25 Random… …   Wikipedia

• Latent semantic analysis — (LSA) is a technique in natural language processing, in particular in vectorial semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. LSA was …   Wikipedia