Papers Majority Voting Classifier
“Majority Voting Classifier” 태그가 달린 논문 4편 · 필터 해제
A Novel Approach for Enhancing Sentiment Classification of Persian Reviews Using Convolutional Neural Network and Majority Voting Classifier
Due to the rapid development of Internet-based applications such as social media, sentiment analysis has become one of the most widely used research areas of natural language processing and an important tool for extracti…
Ensemble LearningMajority Voting ClassifierPersian Sentiment AnalysisSentiment Analysis+1SSN-NLP at SemEval-2020 Task 4: Text Classification and Generation on Common Sense Context Using Neural Networks
Common sense validation deals with testing whether a system can differentiate natural language statements that make sense from those that do not make sense. This paper describes the our approach to solve this challenge. …
Common Sense ReasoningMachine TranslationMajority Voting ClassifierNMT+4Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
The Private Aggregation of Teacher Ensembles (PATE) framework is one of the most promising recent approaches in differentially private learning. Existing theoretical analysis shows that PATE consistently learns any VC-cl…
Active LearningMajority Voting ClassifierArrhythmia Detection using Mutual Information-Based Integration Method
The aim of this paper is to propose an application of mutual information-based ensemble methods to the analysis and classification of heart beats associated with different types of Arrhythmia. Models of multilayer percep…
Arrhythmia DetectionGeneral ClassificationMajority Voting Classifier