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  2. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to the behavior of the hinge loss.

  3. Least-squares support vector machine - Wikipedia

    en.wikipedia.org/wiki/Least-squares_support...

    Least-squares support-vector machines (LS-SVM) for statistics and in statistical modeling, are least-squares versions of support-vector machines (SVM), which are a set of related supervised learning methods that analyze data and recognize patterns, and which are used for classification and regression analysis.

  4. Structured support vector machine - Wikipedia

    en.wikipedia.org/wiki/Structured_support_vector...

    Whereas the SVM classifier supports binary classification, multiclass classification and regression, the structured SVM allows training of a classifier for general structured output labels. As an example, a sample instance might be a natural language sentence, and the output label is an annotated parse tree. Training a classifier consists of ...

  5. Strachey love letter algorithm - Wikipedia

    en.wikipedia.org/wiki/Strachey_Love_Letter_algorithm

    Rather than modeling writing as a creative process, the love letter algorithm represents the writing of love letters as formulaic and without creativity. [8] The algorithm has the following structure: Print two words taken from a list of salutations; Do the following 5 times: Choose one of two sentence structures depending on a random value Rand

  6. Sequential minimal optimization - Wikipedia

    en.wikipedia.org/wiki/Sequential_minimal...

    Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector machines (SVM). It was invented by John Platt in 1998 at Microsoft Research. [1] SMO is widely used for training support vector machines and is implemented by the popular LIBSVM tool.

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    mail.aol.com

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  8. Lovemap - Wikipedia

    en.wikipedia.org/wiki/Lovemap

    The lovemap is a concept originated by sexologist John Money in his discussions of how people develop their sexual preferences. Money defined it as "a developmental representation or template in the mind and in the brain depicting the idealized lover and the idealized program of sexual and erotic activity projected in imagery or actually engaged in with that lover."

  9. Big Lots is planning "going out of business" sales at all of ...

    www.aol.com/big-lots-planning-going-business...

    Update: Big Lots says it reached a deal in late December to keep hundreds of U.S. stores open. Big Lots is preparing to close all of its stores, the bankrupt discount retailer said Thursday. The ...

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