„Cost-sensitive Learning“
Suchergebnisse
1.000+ Treffer
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Online classifier adaptation for cost-sensitive learning
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AdaCC: cumulative cost-sensitive boosting for imbalanced classification
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A cost-sensitive active learning algorithm: toward imbalanced time series forecasting
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Balanced Gradient Boosting from Imbalanced Data for Clinical Outcome Prediction
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Cost-Sensitive Learning in Answer Extraction
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Retraction Note: Improved Deep Learning Network Based in Combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System
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Optimal scale selection by integrating uncertainty and cost-sensitive learning in multi-scale decision tables
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Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration
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Cost-sensitive classification with cost uncertainty: do we need surrogate losses?
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Example dependent cost sensitive learning based selective deep ensemble model for customer credit scoring
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Inter-class margin climbing with cost-sensitive learning in neural network classification
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Learning from Imbalanced Data Sets
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Zur Implementierung des DFU in der Praxis – Der fremdsprachliche Sachfachunterricht an der Deutschen Schule San José (Costa Rica)
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Low Cost and Highly Sensitive Automated Surface Defects Identification Method of Precision Castings Using Deep Learning
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A cost-sensitive online learning method for peptide identification
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Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
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An Integrated Framework for Data-Driven Mineral Prospectivity Mapping Using Bagging-Based Positive-Unlabeled Learning and Bayesian Cost-Sensitive Logistic Regression
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CTGAN-based oversampling and cost-sensitive deep neural network to predict smart money activity in stock market
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Imaging‐Based Lensless Polarization‐Sensitive Fluid Stream Analyzer for Automated, Label‐Free, and Cost‐Effective Microplastic Classification
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On the role of cost-sensitive learning in multi-class brain-computer interfaces