Case-Based Learning: Beyond Classification of Feature Vectors
نویسندگان
چکیده
The dominant theme of case-based research at recent ML conferences has been on classifying cases represented by feature vectors. However, other useful tasks can be targeted, and other representations are often preferable. We review the recent literature on case-based learning , focusing on alternative performance tasks and more expressive case representations. We also highlight topics in need of additional research.
منابع مشابه
Case - Based Learning : Beyond Classi cation of Feature Vectors ?
The dominant theme of case-based research at recent ML conferences has been on classifying cases represented by feature vectors. However, other useful tasks can be targeted, and other representations are often preferable. We review the recent literature on case-based learning , focusing on alternative performance tasks and more expressive case representations. We also highlight topics in need o...
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تاریخ انتشار 1997