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Considering decision cost during learning of feature weights

https://doi.org/10.1007/bfb0020630
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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_57openalex-snapshot
Estimating attributes: Analysis and extensions of RELIEF
inferredcites →https://doi.org/10.1007/3-540-60598-3_31openalex-snapshot
Weighting features
inferredcites →https://doi.org/10.1007/978-1-4757-4286-2openalex-snapshot
Statistical Decision Theory and Bayesian Analysis
inferredcites →https://doi.org/10.1007/bf00114779openalex-snapshot
A Nearest Hyperrectangle Learning Method
inferredcites →https://doi.org/10.1007/bf00114780openalex-snapshot
Conflict Resolution as Discovery in Particle Physics
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50098-9openalex-snapshot
INCREMENTAL, INSTANCE-BASED LEARNING OF INDEPENDENT AND GRADED CONCEPT DESCRIPTIONS
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50037-1openalex-snapshot
A Practical Approach to Feature Selection
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/10.1145/7902.7906openalex-snapshot
Toward memory-based reasoning
inferredcites →https://doi.org/10.1162/neco.1995.7.1.72openalex-snapshot
Similarity Metric Learning for a Variable-Kernel Classifier
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/2288950openalex-snapshot
Stastical Decision Theory and Bayesian Analysis.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/11536406_39openalex-snapshot
Learning Similarity Measures: A Formal View Based on a Generalized CBR Model
inferred← citeshttps://doi.org/10.1007/3-540-44593-5_35openalex-snapshot
Learning Feature Weights from Case Order Feedback
inferred← citeshttps://doi.org/10.1007/3-540-45006-8_41openalex-snapshot
Using Evolution Programs to Learn Local Similarity Measures
inferred← citeshttps://doi.org/10.1007/978-1-4471-0575-6_16openalex-snapshot
Using Statistical Models and Case-Based Reasoning in Claims Prediction: Experience from a Real-World Problem
inferred← citeshttps://doi.org/10.1007/978-3-540-85502-6_8openalex-snapshot
Learning Similarity Functions from Qualitative Feedback
inferred← citeshttps://doi.org/10.1007/978-3-662-12433-8_37openalex-snapshot
Similarity and Utility in Non-Numerical Domains
inferred← citeshttps://doi.org/10.1016/s0950-7051(99)00015-5openalex-snapshot
Using statistical models and case-based reasoning in claims prediction: experience from a real-world problem
inferred← citeshttps://doi.org/10.1016/s1386-5056(02)00076-xopenalex-snapshot
Leveraging XML-based electronic medical records to extract experiential clinical knowledge
inferred← citeshttps://doi.org/10.1017/s0269888906000646openalex-snapshot
Retrieval, reuse, revision and retention in case-based reasoning
inferred← citeshttps://doi.org/10.1109/icces.2013.6707164openalex-snapshot
Generic opponent modelling approach for real time strategy games
inferred← citeshttps://doi.org/10.1109/icces.2017.8275329openalex-snapshot
A machine learning based system for mostly automating opponent modeling in real-time strategy games
inferred← citeshttps://doi.org/10.1111/0824-7935.00149openalex-snapshot
Maintaining Retrieval Knowledge in a Case‐Based Reasoning System
inferred← citeshttps://doi.org/10.17533/udea.redin.13748openalex-snapshot
Case based expert system for hypertension diagnosis
inferred← citeshttps://doi.org/10.3233/kes-2004-8404openalex-snapshot
Learning the users' preferences in e-commerce: A weight-adjustment approach
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