Emerging Artificial Intelligence Applications in Computer Engineering : Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies.
The goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign class labels to the testing instances where the values of the predictor features are known, but the value of the class la...
Đã lưu trong:
| Những tác giả chính: | , , , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
IOS Press
2013
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35159 |
| Các nhãn: |
Thêm thẻ
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | The goal of supervised learning is to build a concise model of the distribution
of class labels in terms of predictor features. The resulting classifier is then
used to assign class labels to the testing instances where the values of the predictor
features are known, but the value of the class label is unknown. This paper describes
various supervised machine learning classification techniques. Of course, a
single chapter cannot be a complete review of all supervised machine learning
classification algorithms (also known induction classification algorithms), yet we
hope that the references cited will cover the major theoretical issues, guiding the
researcher in interesting research directions and suggesting possible bias combinations
that have yet to be explored. |
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