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Inducing cost-sensitive trees via instance weighting

https://doi.org/10.1007/bfb0094814
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-57868-4_79openalex-snapshot
Cost-sensitive pruning of decision trees
inferredcites →https://doi.org/10.1007/3-540-61532-6_3openalex-snapshot
Cost-sensitive specialization
inferredcites →https://doi.org/10.1007/bfb0026689openalex-snapshot
Boosting trees for cost-sensitive classifications
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50034-9openalex-snapshot
Reducing Misclassification Costs
inferredcites →https://doi.org/10.1080/00401706.1995.10484383openalex-snapshot
Machine Learning, Neural and Statistical Classification
inferredcites →https://doi.org/10.1613/jair.120openalex-snapshot
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Simple Test Strategies for Cost-Sensitive Decision Trees
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Hybrid Cost-Sensitive Decision Tree
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An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning
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Automated Assistants to Aid Humans in Understanding Team Behaviors
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Boosting Cost-Sensitive Trees
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Cost-Sensitive Learning
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Intrusion Detection Using Cost-Sensitive Classification
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Introducing Machine Learning Concepts with WEKA
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Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS
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Cost-Sensitive Decision Trees with Pre-pruning
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A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification
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Roulette Sampling for Cost-Sensitive Learning
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Test-Cost Sensitive Classification on Data with Missing Values in the Limited Time
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Test-Cost Sensitive Classification Using Greedy Algorithm on Training Data
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Cost-Sensitive Classification with Unconstrained Influence Diagrams
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The CASH algorithm-cost-sensitive attribute selection using histograms
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Rectified Softmax Loss With All-Sided Cost Sensitivity for Age Estimation
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Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects
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Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks
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"Missing is useful": missing values in cost-sensitive decision trees
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Forecasting Soccer Outcome Using Cost-Sensitive Models Oriented to Investment Opportunities
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