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Tsetlin Machine
A Tsetlin machine is an Artificial Intelligence algorithm based on propositional logic. Background A Tsetlin machine is a form of learning automaton collective for learning patterns using propositional logic. Ole-Christoffer Granmo gave the method its name after Michael Lvovitch Tsetlin, who invented the Tsetlin automaton and worked on Tsetlin automata collectives and games. Collectives of Tsetlin automata were originally constructed, implemented, and studied theoretically by Vadim Stefanuk in 1962. The Tsetlin machine uses computationally simpler and more efficient primitives compared to more ordinary artificial neural networks. As of April 2018 it has shown promising results on a number of test sets. Types * Original Tsetlin machine * Convolutional Tsetlin machine * Regression Tsetlin machine * Relational Tsetlin machine * Weighted Tsetlin machine * Arbitrarily deterministic Tsetlin machine * Parallel asynchronous Tsetlin machine * Coalesced multi-output Tsetlin ma ...
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Tm Block
TM or Tm and variants may refer to: * Trademark, often indicated with the symbol ™ ** Trademark symbol Businesses and organizations * TM Forum, telecommunications and entertainment industry association * TM Supermarket, a chain of supermarkets in Zimbabwe * LAM Mozambique Airlines (IATA airline designator TM) * Telekom Malaysia, telecommunications company * Texas Mexican Railway (reporting mark TM) * TM (cellular service), a telecommunications brand in the Philippines * Toastmasters International, an international public speaking organization * Toyota Motor Corporation (NYSE symbol TM) * Tokyo Metro, one of the major subway systems of Tokyo Science and technology Biology and medicine * Melting temperature (Tm) in nucleic acid thermodynamics, at which half of DNA strands are in the ssDNA state * Transport maximum, where concentration increase does not speed membrane traversal * Transverse myelitis, a neurological condition in which the spinal cord is inflamed * Translational med ...
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Iris (plant)
''Iris'' is a flowering plant genus of 310 accepted species with showy flowers. As well as being the scientific name, ''iris'' is also widely used as a common name for all ''Iris'' species, as well as some belonging to other closely related genera. A common name for some species is 'flags', while the plants of the subgenus '' Scorpiris'' are widely known as ' junos', particularly in horticulture. It is a popular garden flower. The often-segregated, monotypic genera ''Belamcanda'' (blackberry lily, ''I. domestica''), ''Hermodactylus'' (snake's head iris, ''I. tuberosa''), and ''Pardanthopsis'' (vesper iris, '' I. dichotoma'') are currently included in ''Iris''. Three Iris varieties are used in the Iris flower data set outlined by Ronald Fisher in his 1936 paper ''The use of multiple measurements in taxonomic problems'' as an example of linear discriminant analysis. Description Irises are perennial plants, growing from creeping rhizomes (rhizomatous irises) or, in dri ...
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Field-programmable Gate Array
A field-programmable gate array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturinghence the term '' field-programmable''. The FPGA configuration is generally specified using a hardware description language (HDL), similar to that used for an application-specific integrated circuit (ASIC). Circuit diagrams were previously used to specify the configuration, but this is increasingly rare due to the advent of electronic design automation tools. FPGAs contain an array of programmable logic blocks, and a hierarchy of reconfigurable interconnects allowing blocks to be wired together. Logic blocks can be configured to perform complex combinational functions, or act as simple logic gates like AND and XOR. In most FPGAs, logic blocks also include memory elements, which may be simple flip-flops or more complete blocks of memory. Many FPGAs can be reprogrammed to implement different logic functions, allowing flexible reconfi ...
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CUDA
CUDA (or Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs ( GPGPU). CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels. CUDA is designed to work with programming languages such as C, C++, and Fortran. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which required advanced skills in graphics programming. CUDA-powered GPUs also support programming frameworks such as OpenMP, OpenACC and OpenCL; and HIP by compiling such code to CUDA. CUDA was created by Nvidia. When it was first introduced, the name was an acronym for Compute Unified Device A ...
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Step Function
In mathematics, a function on the real numbers is called a step function if it can be written as a finite linear combination of indicator functions of intervals. Informally speaking, a step function is a piecewise constant function having only finitely many pieces. Definition and first consequences A function f\colon \mathbb \rightarrow \mathbb is called a step function if it can be written as :f(x) = \sum\limits_^n \alpha_i \chi_(x), for all real numbers x where n\ge 0, \alpha_i are real numbers, A_i are intervals, and \chi_A is the indicator function of A: :\chi_A(x) = \begin 1 & \text x \in A \\ 0 & \text x \notin A \\ \end In this definition, the intervals A_i can be assumed to have the following two properties: # The intervals are pairwise disjoint: A_i \cap A_j = \emptyset for i \neq j # The union of the intervals is the entire real line: \bigcup_^n A_i = \mathbb R. Indeed, if that is not the case to start with, a different set of intervals can be picked fo ...
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Finite-state Machine
A finite-state machine (FSM) or finite-state automaton (FSA, plural: ''automata''), finite automaton, or simply a state machine, is a mathematical model of computation. It is an abstract machine that can be in exactly one of a finite number of '' states'' at any given time. The FSM can change from one state to another in response to some inputs; the change from one state to another is called a ''transition''. An FSM is defined by a list of its states, its initial state, and the inputs that trigger each transition. Finite-state machines are of two types— deterministic finite-state machines and non-deterministic finite-state machines. A deterministic finite-state machine can be constructed equivalent to any non-deterministic one. The behavior of state machines can be observed in many devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples are vending machines, which dispens ...
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Multi-armed Bandit
In probability theory and machine learning, the multi-armed bandit problem (sometimes called the ''K''- or ''N''-armed bandit problem) is a problem in which a fixed limited set of resources must be allocated between competing (alternative) choices in a way that maximizes their expected gain, when each choice's properties are only partially known at the time of allocation, and may become better understood as time passes or by allocating resources to the choice. This is a classic reinforcement learning problem that exemplifies the exploration–exploitation tradeoff dilemma. The name comes from imagining a gambler at a row of slot machines (sometimes known as " one-armed bandits"), who has to decide which machines to play, how many times to play each machine and in which order to play them, and whether to continue with the current machine or try a different machine. The multi-armed bandit problem also falls into the broad category of stochastic scheduling. In the problem, each ...
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A Six States TA
A, or a, is the first letter and the first vowel of the Latin alphabet, used in the modern English alphabet, the alphabets of other western European languages and others worldwide. Its name in English is ''a'' (pronounced ), plural ''aes''. It is similar in shape to the Ancient Greek letter alpha, from which it derives. The uppercase version consists of the two slanting sides of a triangle, crossed in the middle by a horizontal bar. The lowercase version can be written in two forms: the double-storey a and single-storey ɑ. The latter is commonly used in handwriting and fonts based on it, especially fonts intended to be read by children, and is also found in italic type. In English grammar, " a", and its variant " an", are indefinite articles. History The earliest certain ancestor of "A" is aleph (also written 'aleph), the first letter of the Phoenician alphabet, which consisted entirely of consonants (for that reason, it is also called an abjad to distinguish it fr ...
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Tm Block Detailed
TM or Tm and variants may refer to: * Trademark, often indicated with the symbol ™ ** Trademark symbol Businesses and organizations * TM Forum, telecommunications and entertainment industry association * TM Supermarket, a chain of supermarkets in Zimbabwe * LAM Mozambique Airlines (IATA airline designator TM) * Telekom Malaysia, telecommunications company * Texas Mexican Railway (reporting mark TM) * TM (cellular service), a telecommunications brand in the Philippines * Toastmasters International, an international public speaking organization * Toyota Motor Corporation (NYSE symbol TM) * Tokyo Metro, one of the major subway systems of Tokyo Science and technology Biology and medicine * Melting temperature (Tm) in nucleic acid thermodynamics, at which half of DNA strands are in the ssDNA state * Transport maximum, where concentration increase does not speed membrane traversal * Transverse myelitis, a neurological condition in which the spinal cord is inflamed * Translat ...
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Bayesian Network
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables (''e.g.'' speech signals or protein sequences) are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Graphical m ...
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