Detecting Human Phosphorylated Protein by Using Class Imbalance Learning and Ensemble Classifier
نویسندگان
چکیده
منابع مشابه
Ensemble diversity for class imbalance learning
This thesis studies the diversity issue of classification ensembles for class imbalance learning problems. Class imbalance learning refers to learning from imbalanced data sets, in which some classes of examples (minority) are highly under-represented comparing to other classes (majority). The very skewed class distribution degrades the learning ability of many traditional machine learning meth...
متن کاملEnsemble-based active learning for class imbalance problem
In medical diagnosis, the problem of class imbalance is popular. Though there are abundant unlabeled data, it is very difficult and expensive to get labeled ones. In this paper, an ensemble-based active learning algorithm is proposed to address the class imbalance problem. The artificial data are created according to the distribution of the training dataset to make the ensemble diverse, and the...
متن کاملClassifier Ensemble Based Class Weightening
Many methods have been proposed for combining multiple classifiers in pattern recognition such as Random Forest which uses decision trees for problem solving. In this paper, we propose a weighted vote-based classifier ensemble method. The proposed method is similar to Random Forest method in employing many decision trees and neural networks as classifiers. For evaluating the proposed weighting ...
متن کاملDetecting Fake Websites Using Swarm Intelligence Mechanism in Human Learning
The internet and its various services have made users to easily communicate with each other. Internet benefits including online business and e-commerce. E-commerce has boosted online sales and online auction types. Despite their many uses and benefits, the internet and their services have various challenges, such as information theft, which challenges the use of these services. Information thef...
متن کاملDetecting Android Malware By Using A Machine Learning Ensemble Method
Android has become the most popular mobile operating system in recent years. As its popularity has increased, so have the number of attacks to the platform. Samples of malware have been found in different popular Android apps markets, including the Google Play store. Most anti-virus software uses a signature-based approach to detect malware, however, it fails to detect unknown malware. Differen...
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: DEStech Transactions on Materials Science and Engineering
سال: 2017
ISSN: 2572-889X
DOI: 10.12783/dtmse/mmme2016/10137