Feature selection based on graph Laplacian by using compounds with known and unknown activities
نویسندگان
چکیده
منابع مشابه
Handling Imprecise Labels in Feature Selection with Graph Laplacian
Feature selection is a preprocessing step of great importance for a lot of pattern recognition and machine learning applications, including classification. Even if feature selection has been extensively studied for classical problems, very little work has been done to take into account a possible imprecision or uncertainty in the assignment of the class labels. However, such a situation can be ...
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i Acknowledgements This thesis is a result of my efforts as a research assistant and doctoral student at the Autonomous Systems Lab of the Swiss Federal Institute of Technology Lausanne (EPFL). During that time, I have been supported by various people to whom I wish to express my gratitude. I am indebted to Prof. Roland Siegwart; he offered me the possibility to work in a liberal environment an...
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ژورنال
عنوان ژورنال: Journal of Chemometrics
سال: 2017
ISSN: 0886-9383
DOI: 10.1002/cem.2899