A boosted SVM classifier trained by incremental learning and decremental unlearning approach
R Kashef - Expert Systems with Applications, 2021 - Elsevier
Abstract The Support Vector Machines (SVM) classifier is a margin-based supervised
machine learning method used for categorization and classification tasks. A Linear SVM …
machine learning method used for categorization and classification tasks. A Linear SVM …
Robust support vector regression in primal with asymmetric Huber loss
S Balasundaram, Y Meena - Neural Processing Letters, 2019 - Springer
As real world data sets in general contain noise, construction of robust regression learning
models to fit data with noise is an important and challenging research problem. It is all the …
models to fit data with noise is an important and challenging research problem. It is all the …
Shilling attacks detection in collaborative recommender system: Challenges and promise
The reliability of the recommender system is highly essential for the continuity of any system.
Fake and malicious users may be spoiling system predictions reliability by inserting and …
Fake and malicious users may be spoiling system predictions reliability by inserting and …
Using Ensemble Method to Detect Attacks in the Recommender System
Shill attacks are a serious threat to the stability of filtering and recommendation systems.
These attacks involve the injection of fake profiles into the system, which can compromise …
These attacks involve the injection of fake profiles into the system, which can compromise …
Speedup two-class supervised outlier detection
Outlier detection is an important topic in the community of data mining and machine
learning. In two-class supervised outlier detection, it needs to solve a large quadratic …
learning. In two-class supervised outlier detection, it needs to solve a large quadratic …
SVM accuracy and training speed trade-off in sentiment analysis tasks
K Korovkinas, P Danėnas, G Garšva - … , October 4–6, 2018, Proceedings 24, 2018 - Springer
SVM technique is one of the best techniques to classify data, but it has a slow performance
in the big data arrays. This paper introduces the method to improve the speed of SVM …
in the big data arrays. This paper introduces the method to improve the speed of SVM …
An enhanced method for detecting attack in collaborative recommender system
In recent decades, the advent of digital information services by YouTube, Amazon, Netflix,
and many other web services of this kind have made recommendation systems more and …
and many other web services of this kind have made recommendation systems more and …
[PDF][PDF] Using Ensemble Method to Detect Attacks in the Recommender System
HA SALMAN, A ALMOHIMEED - 2023 - academia.edu
Shill attacks are a serious threat to the stability of filtering and recommendation systems.
These attacks involve the injection of fake profiles into the system, which can compromise …
These attacks involve the injection of fake profiles into the system, which can compromise …