Titlebook: An Introduction to Machine Learning; Miroslav Kubat Textbook 20151st edition Springer International Publishing Switzerland 2015 Applicatio

粗糙濫制

tolerance

The Genetic Algorithm, the training examples, but also future examples. Chapter?1 explained the principle of one of the most popular AI-based search techniques, the so-called ., and showed how it can be used in classifier induction.

鞭打

https://doi.org/10.1007/978-3-319-20010-1Applications; bayesian classifiers; boosting; computational learning theory; decision trees; genetic algo

tendinitis

978-3-319-34886-5Springer International Publishing Switzerland 2015

Sleep-Paralysis

裙帶關(guān)系

軌道

Jogging

開始沒有

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.

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