The algorithmic state machine (ASM) is a method for designing finite-state machines (FSMs) originally developed by Thomas E. Osborne at the University...

paradigms: data model and algorithmic model, wherein "algorithmic model" means more or less the machine learning algorithms like Random Forest. Some statisticians...

A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of...

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circuit Mealy machine Algorithmic state machine Autonomous system (mathematics) Moore, Edward F (1956). "Gedanken-experiments on Sequential Machines". Automata...

data is coded, collected, selected or used to train the algorithm. For example, algorithmic bias has been observed in search engine results and social...

mutual information AIVA AIXI AlchemyAPI AlexNet Algorithm selection Algorithmic inference Algorithmic learning theory AlphaGo AlphaGo Zero Alternating...

Government by algorithm (also known as algorithmic regulation, regulation by algorithms, algorithmic governance, algocratic governance, algorithmic legal order...

simple retail tools. Algorithmic trading is widely used in equities, futures, crypto and foreign exchange markets. The term algorithmic trading is often used...

Electronic system-level Finite-state machine with datapath Integrated circuit design Synchronous circuit Algorithmic state machine Gate equivalent Power optimization...

Quantum machine learning (QML) is the study of quantum algorithms which solve machine learning tasks. The most common use of the term refers to quantum...

model's simplicity, it is capable of implementing any computer algorithm. The machine operates on an infinite memory tape divided into discrete cells...

to model algorithmic performance (such as time complexity), the PRAM is used by parallel-algorithm designers to model parallel algorithmic performance...

Deterministic algorithms can be defined in terms of a state machine: a state describes what a machine is doing at a particular instant in time. State machines pass...

Innovative Mobility ASLR—Address Space Layout Randomization ASM—Algorithmic State Machine ASMP—Asymmetric Multiprocessing ASN.1—Abstract Syntax Notation...

A Tsetlin machine is an artificial intelligence algorithm based on propositional logic. A Tsetlin machine is a form of learning automaton collective for...

In algorithmic information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability...

finite-state machine is called a deterministic finite automaton (DFA), if each of its transitions is uniquely determined by its source state and input...

Algorithmic art or algorithm art is art, mostly visual art, in which the design is generated by an algorithm. Algorithmic artists are sometimes called...

Control Algorithm aversion Algorithm engineering Algorithm characterizations Algorithmic bias Algorithmic composition Algorithmic entities Algorithmic synthesis...

given application domain) the deployment of their algorithmic solutions by code-executing machines on changing platforms (definition of design decisions...

state machines Active shape model, a deformable contour model used in computer vision Algorithmic state machine, for designing finite state machines Any-source...

random field. Boltzmann machines are theoretically intriguing because of the locality and Hebbian nature of their training algorithm (being trained by Hebb's...

levels of subroutines. […] Chris Clare later documented this as Algorithmic State Machine (ASM) methodology. Even the simple Sine or Cosine used the Tangent...

In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...

rules are guaranteed by the details of the algorithm described in the previous section. The State Machine Safety is guaranteed by a restriction on the...

a quantum state in superposition, sometimes referred to as quantum parallelism. Peter Shor built on these results with his 1994 algorithm for breaking...

(DFA), deterministic finite-state machine (DFSM), or deterministic finite-state automaton (DFSA)—is a finite-state machine that accepts or rejects a given...

In statistics, an expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates...

machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms that...