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  2. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Weka (software) Waikato Environment for Knowledge Analysis ( Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  3. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    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. 1980s. Rediscovery of backpropagation causes a resurgence in machine learning research.

  4. Trinity University (Texas) - Wikipedia

    en.wikipedia.org/wiki/Trinity_University_(Texas)

    Website. www .trinity .edu. Trinity University is a private liberal arts college in San Antonio, Texas. Founded in 1869, its student body consists of about 2,600 undergraduate and 200 graduate students. Trinity offers 49 majors and 61 minors among six degree programs, [5] and has an endowment of $1.725 billion.

  5. 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.

  6. Tensor (machine learning) - Wikipedia

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

    Tensor informally refers in machine learning to two different concepts that organize and represent data. Data may be organized in a multidimensional array (M-way array) that is informally referred to as a "data tensor"; however in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector space.

  7. Transduction (machine learning) - Wikipedia

    en.wikipedia.org/.../Transduction_(machine_learning)

    The most well-known example of a case-bases learning algorithm is the k-nearest neighbor algorithm, which is related to transductive learning algorithms. [2] Another example of an algorithm in this category is the Transductive Support Vector Machine (TSVM). A third possible motivation of transduction arises through the need to approximate.

  8. Leeds Trinity University - Wikipedia

    en.wikipedia.org/wiki/Leeds_Trinity_University

    Leeds Trinity University is a public university in Horsforth, Leeds, West Yorkshire, England. Originally established to provide qualified teachers to Catholic schools, it gradually expanded and now offers foundation, undergraduate, and postgraduate degrees in a range of humanities and social sciences. Previously known as Leeds Trinity & All ...

  9. Boosting (machine learning) - Wikipedia

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

    Orange, a free data mining software suite, module Orange.ensemble Weka is a machine learning set of tools that offers variate implementations of boosting algorithms like AdaBoost and LogitBoost R package GBM (Generalized Boosted Regression Models) implements extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting ...