A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation
نویسندگان
چکیده
منابع مشابه
Fault diagnosis in a distillation column using a support vector machine based classifier
Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...
متن کاملSignature Verification System Based on Support Vector Machine Classifier
The paper presents an off-line signature verification system using support vector machine technique. Global features are extracted from the signatures using radon transform. For each registered user in the system database a number of reference signatures are enrolled and aligned for statistics information extraction about his signature. Dynamic time warping algorithm is used to align two signat...
متن کاملInduction Machine Fault Detection Using Support Vector Machine Based Classifier
Industrial motors are subject to various faults which, if unnoticed, can lead to motor failure. The necessity of incipient fault detection can be justified by safety and economical reasons. The technology of artificial neural networks has been successfully used to solve the motor fault detection problem. This paper develops inexpensive, reliable, and noninvasive NN based fault detection scheme ...
متن کاملAcoustic detection of apple mealiness based on support vector machine
Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...
متن کاملSingle Chip Implementation of Support Vector Machine Based Bi - Classifier
This paper proposes the implementation of Support Vector Machine (SVM) on a single chip (dsPIC), which makes it suitable for standalone portable applications. The usual practice is to implement SVMs using general purpose computers, since its implementation demands fairly large amount of memory [1]. SVM implementation in this work uses Sequential Minimal Optimization (SMO) [1], with necessary mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2929680