False Twisting Machines in Japan
نویسندگان
چکیده
منابع مشابه
Low false positive learning with support vector machines
Most machine learning systems for binary classification are trained using algorithms that maximize the accuracy and assume that false positives and false negatives are equally bad. However, in many applications, these two types of errors may have very different costs. For instance, in medical screening applications, falsely determining that a patient is healthy is much more serious than falsely...
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ion and classification continues, What's Euclidean On a perfectly flat surface, parallel lines never meet. A triangle drawn on such a plane has interior angles that add up to 1800. A straight line is the shortest distance between two points. These and other postulates and results are part of the geometry first invented by Euclid more than 2,000 years ago. Later mathematicians refined and extend...
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ژورنال
عنوان ژورنال: Journal of the Textile Machinary Society
سال: 1960
ISSN: 1883-8715
DOI: 10.4188/transjtmsj1948.13.589