Adaptation and personalization of classifiers
| Autor: | Markus Kächele |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject Regression analysis Machine learning computer.software_genre Personalization ComputingMethodologies_PATTERNRECOGNITION Training material Quality (business) Artificial intelligence business Adaptation (computer science) computer media_common |
| Zdroj: | Machine Learning Systems for Multimodal Affect Recognition ISBN: 9783658286736 |
| Popis: | In this chapter methods for the personalization and adaptation of classification and regression models are presented. The idea of those approaches is to improve the quality of classification/regression models in cases in which no additional labeled training material is available for given persons. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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