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  2. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    In machine learning, pattern recognition is the assignment of a label to a given input value. In statistics, discriminant analysis was introduced for this same purpose in 1936. An example of pattern recognition is classification , which attempts to assign each input value to one of a given set of classes (for example, determine whether a given ...

  3. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [2]

  4. Leonard Uhr - Wikipedia

    en.wikipedia.org/wiki/Leonard_Uhr

    Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science.He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artificial intelligence systems based on his understanding of how the human brain works.

  5. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of ... Interest related to pattern recognition continued into the 1970s, ... Proprietary software with free and open-source editions

  6. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.

  7. Prior knowledge for pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Prior_knowledge_for...

    Pattern recognition is a very active field of research intimately bound to machine learning. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern.

  8. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    In machine learning, ... and is a free parameter that serves as a threshold: all predictions have to ... Pattern Recognition ...

  9. Tsetlin machine - Wikipedia

    en.wikipedia.org/wiki/Tsetlin_machine

    A Tsetlin machine is a form of learning automaton collective for learning patterns using propositional logic. Ole-Christoffer Granmo created [ 1 ] and gave the method its name after Michael Lvovitch Tsetlin , who invented the Tsetlin automaton [ 2 ] and worked on Tsetlin automata collectives and games. [ 3 ]