Support Vector Machines in Combinatorial Chemistry
نویسندگان
چکیده
منابع مشابه
Applications of Support Vector Machines in Chemistry
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel principal component analysis, and Gaussian processes) represent a major development in machine learning algorithms. Support vector machines (SVM) are a group of supervised learning methods that can be applied to classification or regression. In a short period of time, SVM found numerous applications in chemis...
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ژورنال
عنوان ژورنال: Measurement and Control
سال: 2001
ISSN: 0020-2940
DOI: 10.1177/002029400103400803