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  2. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    The SVM algorithm has been widely applied in the biological and other sciences. They have been used to classify proteins with up to 90% of the compounds classified correctly. Permutation tests based on SVM weights have been suggested as a mechanism for interpretation of SVM models.

  3. Regularization perspectives on support vector machines

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

    SVM algorithms categorize binary data, with the goal of fitting the training set data in a way that minimizes the average of the hinge-loss function and L2 norm of the learned weights. This strategy avoids overfitting via Tikhonov regularization and in the L2 norm sense and also corresponds to minimizing the bias and variance of our estimator ...

  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 .

  5. Common-method variance - Wikipedia

    en.wikipedia.org/wiki/Common-method_variance

    Using simulated data sets, Richardson et al. (2009) investigate three ex post techniques to test for common method variance: the correlational marker technique, the confirmatory factor analysis (CFA) marker technique, and the unmeasured latent method construct (ULMC) technique.

  6. These Batch Cosmos Are Made to Serve a Crowd - AOL

    www.aol.com/batch-cosmos-made-serve-crowd...

    Combine the vodka, cranberry juice, lime juice, and triple sec in a pitcher filled with ice. Stir well until chilled, then strain through a fine mesh strainer or slotted spoon into 4 martini or ...

  7. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    Empirically, for machine learning heuristics, choices of a function that do not satisfy Mercer's condition may still perform reasonably if at least approximates the intuitive idea of similarity. [6] Regardless of whether k {\displaystyle k} is a Mercer kernel, k {\displaystyle k} may still be referred to as a "kernel".

  8. The 9 Best Grocery Items for Weight Loss, According to ... - AOL

    www.aol.com/9-best-grocery-items-weight...

    However, restrictive diets don't work well for most people. ... "Especially if you're somebody who doesn't want to eat as many carbohydrates, or if you're gluten-free, eggs are such a great option ...

  9. 10 Over-the-Top Christmas Decorations That Cost a Fortune - AOL

    www.aol.com/10-over-top-christmas-decorations...

    Elaborate and expensive Christmas light displays have become a hallmark of the holiday season, with enthusiasts all over the world pouring in time, effort, and tons of money to create these ...