工作 发表于 2025-3-28 16:17:51

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不足的东西 发表于 2025-3-28 22:18:40

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大都市 发表于 2025-3-29 01:23:42

https://doi.org/10.1007/978-3-476-05629-0The fundamental problem addressed by this book is how to induce a classifier capable of determining the class of an object. We have seen quite a few techniques that have been developed with this in mind.

Ballerina 发表于 2025-3-29 04:03:24

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沙文主义 发表于 2025-3-29 10:53:41

Probabilities: Bayesian Classifiers,The earliest attempts to predict an example’s class based on the known attribute values go back to well before World War II—prehistory, by the standards of computer science. Of course, nobody used the term “machine learning,” in those days, but the goal was essentially the same as the one addressed in this book.

cancer 发表于 2025-3-29 13:04:41

Inter-Class Boundaries: Linear and Polynomial Classifiers,When representing the training examples with points in an .-dimensional instance space, we may realize that positive examples tend to be clustered in regions different from those occupied by negative examples. This observation motivates yet another approach to classification.

Acumen 发表于 2025-3-29 18:37:31

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jaundiced 发表于 2025-3-29 20:48:33

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LINES 发表于 2025-3-30 02:45:40

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组装 发表于 2025-3-30 06:22:58

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查看完整版本: Titlebook: An Introduction to Machine Learning; Miroslav Kubat Textbook 20172nd edition Springer International Publishing AG 2017 Bayesian classifier