Time-weighted Fuzzy Support Vector Machines for classification in changing environments

Keyphrases

• Time Weight 100%
• Support Vector Machine Classifier 100%
• Changing Environment 100%
• Fuzzy Support Vector Machine 100%
• Dataset Shift 100%
• Performance Prediction 33%
• Kernel-based Classification 33%
• Performance Improvement 33%
• Joint Distribution 33%
• Hinge Loss Functions 33%
• Machine Learning Techniques 33%
• Theoretical Virtues 33%
• Loss Function 33%
• Linear Approach 33%
• Time Prediction 33%
• Statistical Learning Techniques 33%
• Classification Methods 33%
• Credit Scoring 33%
• Aggregation Operators 33%
• Construction Stage 33%
• Training Samples 33%
• Fuzzy Logic 33%
• Model Building 33%
• Traditional Classifiers 33%
• Non-linear Machine Learning 33%

Computer Science

• Support Vector Machine 100%
• Predictive Performance 50%
• Prediction Time 50%
• Machine Learning Technique 50%
• Linear Machine 50%
• Simulated World 50%
• Training Sample 50%
• Joint Distribution 50%
• Classification Method 50%
• Machine Learning 50%
• Learning System 50%
• Fuzzy Mathematics 50%