Inductive learning algorithms and representations for text categorization

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• SMOTE: Synthetic Minority Over-sampling Technique→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Semi-Supervised Learning→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• ML-KNN: A lazy learning approach to multi-label learning→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Training linear SVMs in linear time→Inductive learning algorithms and representations for text categorizationLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Support-Vector NetworksLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Learning Bayesian Networks: The Combination of Knowledge and Statistical DataLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→The SMART Retrieval System—Experiments in Automatic Document ProcessingLegacy edge — source detail unavailable
• Inductive learning algorithms and representations for text categorization→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Semi-Supervised Learning→Support-Vector NetworksLegacy edge — source detail unavailable
• Semi-Supervised Learning→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Semi-Supervised Learning→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Boosting the margin: a new explanation for the effectiveness of voting methods→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
• Boosting the margin: a new explanation for the effectiveness of voting methods→Support-Vector NetworksLegacy edge — source detail unavailable
• Boosting the margin: a new explanation for the effectiveness of voting methods→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Training linear SVMs in linear time→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• ML-KNN: A lazy learning approach to multi-label learning→Machine learning in automated text categorizationLegacy edge — source detail unavailable
• ML-KNN: A lazy learning approach to multi-label learning→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• An extensive empirical study of feature selection metrics for text classification→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Semi-Supervised LearningLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Boosting the margin: a new explanation for the effectiveness of voting methodsLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Support-Vector NetworksLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• An introduction to kernel-based learning algorithms→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• An Evaluation of Statistical Approaches to Text Categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Machine learning in automated text categorization→Text categorization with Support Vector Machines: Learning with many relevant featuresLegacy edge — source detail unavailable
• Machine learning in automated text categorization→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable
• Support-Vector Networks→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→An Evaluation of Statistical Approaches to Text CategorizationLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→Support-Vector NetworksLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
• Text categorization with Support Vector Machines: Learning with many relevant features→A Comparative Study on Feature Selection in Text CategorizationLegacy edge — source detail unavailable