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Orthogonal Matching Pursuit for Text Classification

WS 2018 • Konstantinos Skianis • Nikolaos Tziortziotis • Michalis Vazirgiannis

In text classification, the problem of overfitting arises due to the high dimensionality, making regularization essential. Although classic regularizers provide sparsity, they fail to return highly accurate models... (read more)

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TEXT CLASSIFICATION

VARIABLE SELECTION

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Orthogonal Matching Pursuit for Text Classification

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