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  2. The Zygon Inversion - Wikipedia

    en.wikipedia.org/wiki/The_Zygon_Inversion

    The Zygon Inversion. " The Zygon Inversion " is the eighth episode of the ninth series of the British science fiction television series Doctor Who. It was first broadcast on BBC One on 7 November 2015, and was written by Peter Harness and Steven Moffat and directed by Daniel Nettheim. The episode is the second of a two-parter, the first being ...

  3. Sidney L. Pressey - Wikipedia

    en.wikipedia.org/wiki/Sidney_L._Pressey

    A number of reviews credit Pressey with being the originator of teaching machines, and of important aspects of programmed learning. This was long before the better known efforts of B.F. Skinner . [12] [11] [13] The review by Klaus gave a special appreciation of Pressey and his work. [14]

  4. The Zygon Invasion - Wikipedia

    en.wikipedia.org/wiki/The_Zygon_Invasion

    The Zygon Invasion. " The Zygon Invasion " is the seventh episode of the ninth series of the British science fiction television series Doctor Who. It was first broadcast on BBC One on 31 October 2015, and written by Peter Harness and directed by Daniel Nettheim. The episode is the first episode of a two-part story, the second part being "The ...

  5. Zygon - Wikipedia

    en.wikipedia.org/wiki/Zygon

    In 2008, a Zygon figure was released by Character Options in the first wave of their classic Doctor Who toy line. On 26 June 2014 a Zygon as featured in "The Day of the Doctor" was released as part of the ongoing Doctor Who figurine collection from Eaglemoss. The Zygon is the 23rd in the regular line of releases.

  6. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    In computational learning theory, probably approximately correct ( PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant. [ 1] In this framework, the learner receives samples and must select a generalization function (called the hypothesis) from a certain class of possible functions.

  7. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    1950. Statistical methods are discovered and refined. 1950s. Pioneering machine learning research is conducted using simple algorithms. 1960s. Bayesian methods are introduced for probabilistic inference in machine learning. [ 1] 1970s. ' AI winter ' caused by pessimism about machine learning effectiveness.

  8. Extreme learning machine - Wikipedia

    en.wikipedia.org/wiki/Extreme_learning_machine

    The name "extreme learning machine" (ELM) was given to such models by Guang-Bin Huang who originally proposed for the networks with any type of nonlinear piecewise continuous hidden nodes including biological neurons and different type of mathematical basis functions. [1] [2] The idea for artificial neural networks goes back to Frank Rosenblatt ...

  9. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    e. Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...