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54 relations: Artificial intelligence, Artificial neuron, Backpropagation, Bernard Widrow, Binary classification, Binary function, Binary space partitioning, Biological neuron model, Calspan, Decision boundary, Delta rule, Dot product, Exclusive or, Feature (machine learning), Feedforward neural network, Frank Rosenblatt, Heaviside step function, Hyperplane separation theorem, IBM 704, Kernel method, Kernel perceptron, Linear classifier, Linear predictor function, Linear separability, Logistic regression, Machine learning, Machine Learning (journal), Marvin Minsky, Mehryar Mohri, Michael Collins (computational linguist), Multiclass classification, Multilayer perceptron, Natural language processing, Neural network, Neuron, Office of Naval Research, Offline learning, Overfitting, Parsing, Part-of-speech tagging, Perceptrons (book), Photodetector, Potentiometer, Raúl Rojas, Robert Schapire, Robustness (computer science), Seymour Papert, Stephen Grossberg, Supervised learning, Support vector machine, ..., The New York Times, Vector space, Winnow (algorithm), Yoav Freund. Expand index (4 more) »
Artificial intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.
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Artificial neuron
An artificial neuron is a mathematical function conceived as a model of biological neurons, a neural network.
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Backpropagation
Backpropagation is a method used in artificial neural networks to calculate a gradient that is needed in the calculation of the weights to be used in the network.
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Bernard Widrow
Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University.
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Binary classification
Binary or binomial classification is the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule.
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Binary function
In mathematics, a binary function (also called bivariate function, or function of two variables) is a function that takes two inputs.
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Binary space partitioning
In computer science, binary space partitioning (BSP) is a method for recursively subdividing a space into convex sets by hyperplanes.
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Biological neuron model
A biological neuron model, also known as a spiking neuron model, is a mathematical description of the properties of certain cells in the nervous system that generate sharp electrical potentials across their cell membrane, roughly one millisecond in duration, as shown in Fig.
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Calspan
Calspan Corporation is a science and technology company founded in 1943 as part of the Research Laboratory of the Curtiss-Wright Airplane Division at Buffalo, New York.
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Decision boundary
In a statistical-classification problem with two classes, a decision boundary or decision surface is a hypersurface that partitions the underlying vector space into two sets, one for each class.
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Delta rule
In machine learning, the Delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single-layer neural network.
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Dot product
In mathematics, the dot product or scalar productThe term scalar product is often also used more generally to mean a symmetric bilinear form, for example for a pseudo-Euclidean space.
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Exclusive or
Exclusive or or exclusive disjunction is a logical operation that outputs true only when inputs differ (one is true, the other is false).
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Feature (machine learning)
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon being observed.
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Feedforward neural network
A feedforward neural network is an artificial neural network wherein connections between the nodes do not form a cycle.
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Frank Rosenblatt
Frank Rosenblatt (July 11, 1928July 11, 1971) was an American psychologist notable in the field of artificial intelligence.
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Heaviside step function
The Heaviside step function, or the unit step function, usually denoted by or (but sometimes, or), is a discontinuous function named after Oliver Heaviside (1850–1925), whose value is zero for negative argument and one for positive argument.
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Hyperplane separation theorem
In geometry, the hyperplane separation theorem is a theorem about disjoint convex sets in n-dimensional Euclidean space.
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IBM 704
The IBM 704, introduced by IBM in 1954, is the first mass-produced computer with floating-point arithmetic hardware.
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Kernel method
In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM).
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Kernel perceptron
In machine learning, the kernel perceptron is a variant of the popular perceptron learning algorithm that can learn kernel machines, i.e. non-linear classifiers that employ a kernel function to compute the similarity of unseen samples to training samples.
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Linear classifier
In the field of machine learning, the goal of statistical classification is to use an object's characteristics to identify which class (or group) it belongs to.
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Linear predictor function
In statistics and in machine learning, a linear predictor function is a linear function (linear combination) of a set of coefficients and explanatory variables (independent variables), whose value is used to predict the outcome of a dependent variable.
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Linear separability
In Euclidean geometry, linear separability is a property of a pair of sets of points.
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Logistic regression
In statistics, the logistic model (or logit model) is a statistical model that is usually taken to apply to a binary dependent variable.
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Machine learning
Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
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Machine Learning (journal)
Machine Learning is a peer-reviewed scientific journal, published since 1986.
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Marvin Minsky
Marvin Lee Minsky (August 9, 1927 – January 24, 2016) was an American cognitive scientist concerned largely with research of artificial intelligence (AI), co-founder of the Massachusetts Institute of Technology's AI laboratory, and author of several texts concerning AI and philosophy.
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Mehryar Mohri
Mehryar Mohri is a professor of computer science at the Courant Institute of Mathematical Sciences at New York University known for his work in machine learning, automata theory and algorithms, speech recognition and natural language processing.
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Michael Collins (computational linguist)
Michael J. Collins (born 4 March 1970) is a researcher in the field of computational linguistics.
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Multiclass classification
Not to be confused with multi-label classification. In machine learning, multiclass or multinomial classification is the problem of classifying instances into one of three or more classes.
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Multilayer perceptron
A multilayer perceptron (MLP) is a class of feedforward artificial neural network.
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Natural language processing
Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
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Neural network
The term neural network was traditionally used to refer to a network or circuit of neurons.
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Neuron
A neuron, also known as a neurone (British spelling) and nerve cell, is an electrically excitable cell that receives, processes, and transmits information through electrical and chemical signals.
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Office of Naval Research
The Office of Naval Research (ONR) is an organization within the United States Department of the Navy that coordinates, executes, and promotes the science and technology programs of the U.S. Navy and Marine Corps through schools, universities, government laboratories, nonprofit organizations, and for-profit organizations.
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Offline learning
In machine learning, systems which employ offline learning do not change their approximation of the target function when the initial training phase has been completed.
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Overfitting
In statistics, overfitting is "the production of an analysis that corresponds too closely or exactly to a particular set of data, and may therefore fail to fit additional data or predict future observations reliably".
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Parsing
Parsing, syntax analysis or syntactic analysis is the process of analysing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar.
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Part-of-speech tagging
In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and its context—i.e., its relationship with adjacent and related words in a phrase, sentence, or paragraph.
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Perceptrons (book)
Perceptrons: an introduction to computational geometry is a book written by Marvin Minsky and Seymour Papert and published in 1969.
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Photodetector
Photosensors or photodetectors are sensors of light or other electromagnetic energy.
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Potentiometer
A potentiometer is a three-terminal resistor with a sliding or rotating contact that forms an adjustable voltage divider.
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Raúl Rojas
Raúl Rojas González (born 1955, in Mexico City) is a professor of Computer Science and Mathematics at the Free University of Berlin and a renowned specialist in artificial neural networks.
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Robert Schapire
Robert Elias Schapire is an American computer scientist, former David M. Siegel '83 Professor in the computer science department at Princeton University, and has recently moved to Microsoft Research.
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Robustness (computer science)
In computer science, robustness is the ability of a computer system to cope with errors during execution1990.
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Seymour Papert
Seymour Aubrey Papert (February 29, 1928 – July 31, 2016) was a South African-born American mathematician, computer scientist, and educator, who spent most of his career teaching and researching at MIT.
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Stephen Grossberg
Stephen Grossberg (born December 31, 1939) is a cognitive scientist, theoretical and computational psychologist, neuroscientist, mathematician, biomedical engineer, and neuromorphic technologist.
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Supervised learning
Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
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Support vector machine
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.
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The New York Times
The New York Times (sometimes abbreviated as The NYT or The Times) is an American newspaper based in New York City with worldwide influence and readership.
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Vector space
A vector space (also called a linear space) is a collection of objects called vectors, which may be added together and multiplied ("scaled") by numbers, called scalars.
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Winnow (algorithm)
The winnow algorithm Nick Littlestone (1988).
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Yoav Freund
Yoav Freund (יואב פרוינד) is an Israeli professor of computer science at the University of California San Diego who mainly works on machine learning, probability theory and related fields and applications.
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References
[1] https://en.wikipedia.org/wiki/Perceptron
