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Three Immunomarker Support Vector Machines–Based Prognostic Classifiers for Stage IB Non–Small-Cell Lung Cancer

Phase I Study of Lapatinib in Combination With Chemoradiation in Patients With Locally Advanced Squamous Cell Carcinoma of the Head and Neck zWhen we use a single clinicopathologic feature or ...
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Immunomarker combined with clinical features to support vector machines classifier for prediction of gastric cancer survival and adjuvant chemotherapeutic benefits.

Role of infiltrating CD8 lymphocytes, microsatellite instability and h. pylori level in gastric cancer. Response to immune checkpoint inhibitors in recurrent/metastatic esophageal squamous cell ...
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Classifiers of Support Vector Machine Type with l₁ Complexity Regularization

We study the binary classification problem with hinge loss. We consider classifiers that are linear combinations of base functions. Instead of an l₂ penalty, which is used by the support vector ...
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Scale adjustments for classifiers in high-dimensional, low sample size settings

This is a preview. Log in through your library . Abstract Distance-based classifiers are generally considered to be effective at discriminating between populations that differ in location. Indeed, ...