Privacy-Preserving Support Vector Machines with Flexible Deployment and Error Correction
نویسندگان
چکیده
منابع مشابه
Privacy Preserving RBF Kernel Support Vector Machine
Data sharing is challenging but important for healthcare research. Methods for privacy-preserving data dissemination based on the rigorous differential privacy standard have been developed but they did not consider the characteristics of biomedical data and make full use of the available information. This often results in too much noise in the final outputs. We hypothesized that this situation ...
متن کاملQuestion Classification with Support Vector Machines and Error Correcting Codes
In this paper we consider a machine learning technique for question classification. The goal is to replace our regular expression based classifier with a classifier that learns from a set of labeled questions. We have realized that an enourmous amount of time is required to create a rich collection of patterns and keywords for a good coverage of questions in an opendomain application. We decide...
متن کاملError Control for Support Vector Machines
Error Control for Support Vector Machines by Mark A. Davenport In binary classification there are two types of errors, and in many applications these may have very different costs. We consider two learning frameworks that address this issue: minimax classification, where we seek to minimize the maximum of the false alarm and miss rates, and Neyman-Pearson (NP) classification, where we seek to m...
متن کاملSTAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES
Establishment of rating curves are often required by the hydrologists for flow estimates in the streams, rivers etc. Measurement of discharge in a river is a time-consuming, expensive, and difficult process and the conventional approach of regression analysis of stage-discharge relation does not provide encouraging results especially during the floods. P
متن کاملPreserving Privacy in RFID Deployment
Radio Frequency Identification, RFID, is an item-tagging technology which interests suppliers and retailers. RFID has potential to revolutionise supply chain management but also some potentially distressing social implications. When used inappropriately, RFID is capable of reducing or eliminating customer anonymity, thereby damaging privacy and threatening civil liberties. I begin with an intro...
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: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-93206-0_15