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  2. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    [18] [19] Support vector machine weights have also been used to interpret SVM models in the past. [20] Posthoc interpretation of support vector machine models in order to identify features used by the model to make predictions is a relatively new area of research with special significance in the biological sciences.

  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. Regularization perspectives on support vector machines

    en.wikipedia.org/wiki/Regularization...

    The training and test-set errors can be measured without bias and in a fair way using accuracy, precision, Auc-Roc, precision-recall, and other metrics. Regularization perspectives on support-vector machines interpret SVM as a special case of Tikhonov regularization, specifically Tikhonov regularization with the hinge loss for a loss function.

  5. Computer-based test interpretation in psychological assessment

    en.wikipedia.org/wiki/Computer-Based_Test...

    Computer-based test interpretation (CBTI) programs are technological tools that have been commonly used to interpret data in psychological assessments since the 1960s. CBTI programs are used for a myriad of psychological tests, like clinical interviews or problem rating, but are most frequently exercised in psychological and neuropsychological ...

  6. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    A support-vector machine is a supervised learning model that divides the data into regions separated by a linear boundary. Here, the linear boundary divides the black circles from the white. Supervised learning algorithms build a mathematical model of a set of data that contains both the inputs and the desired outputs. [47]

  7. 9 Questions Retirees Need To Ask Heading In to 2025 - AOL

    www.aol.com/9-questions-retirees-ask-heading...

    This is why an estate plan will help affirm your wishes should anything happen that will help them focus on grieving. In addition, you want to ensure any estate plan minimizes tax burdens on your ...

  8. Structured support vector machine - Wikipedia

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

    The structured support-vector machine is a machine learning algorithm that generalizes the Support-Vector Machine (SVM) classifier. Whereas the SVM classifier supports binary classification , multiclass classification and regression , the structured SVM allows training of a classifier for general structured output labels .

  9. Trae Young hits ridiculous half-court buzzer-beater to lift ...

    www.aol.com/sports/trae-young-hits-ridiculous...

    Young powered the Hawks to a wild 124-121 win over the Utah Jazz on Tuesday night with one of the most ridiculous shots of his career. Young's shot was only half of the finish at the Delta Center.