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  2. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    [16] [17] Support vector machine weights have also been used to interpret SVM models in the past. [18] 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. 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.

  4. 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.

  5. Computer-based test interpretation in psychological assessment

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

    The use of CBTIs is found in a variety of psychological domains (e.g., clinical interviewing and problem rating), but is most commonly utilized in personality and neuropsychological assessments. [3] This article will focus on the use of CBTIs in personality assessment, most commonly using the MMPI and its subsequent revised editions.

  6. 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 .

  7. North Korea launches 'toughest' U.S. strategy in key party ...

    www.aol.com/news/north-korea-declares-strongest...

    By Hyunsu Yim. SEOUL (Reuters) -North Korean leader Kim Jong Un held a key policy-setting meeting of the country's ruling party last week ahead of the new year, state media KCNA reported on Sunday.

  8. Ranking SVM - Wikipedia

    en.wikipedia.org/wiki/Ranking_SVM

    The ranking SVM algorithm is a learning retrieval function that employs pairwise ranking methods to adaptively sort results based on how 'relevant' they are for a specific query. The ranking SVM function uses a mapping function to describe the match between a search query and the features of each of the possible results.

  9. Backpacks full of $1.1 million worth of cocaine found near ...

    www.aol.com/news/backpacks-full-1-1-million...

    Agents on patrol discovered two backpacks stuffed with more than $1.1 million worth of cocaine in Washington state near the border with Canada, U.S. Customs and Border Protection said Monday. The ...