Replanting Your Forest: NVM-friendly Bagging Strategy for Random Forest

Keyphrases

• Main Memory 100%
• Non-volatile Memory 100%
• Random Forest 100%
• Bagging Strategy 100%
• Random Access Memory 66%
• Prediction Accuracy 66%
• Machine Learning Algorithms 66%
• Data Movement 66%
• Random Forest Algorithm 66%
• Proposed Design 33%
• Low Power Consumption 33%
• Classification Problem 33%
• Evaluation Results 33%
• Machine Learning System 33%
• Memory Space 33%
• Reading Performance 33%
• High Cell Density 33%
• Secondary Storage 33%
• Regression Problem 33%
• Intensive Data 33%
• Nonvolatile Memory Technologies 33%
• Data Swapping 33%
• Embedded Nonvolatile Memory (eNVM) 33%
• Big Data Era 33%
• Memory Hierarchy 33%
• Write Endurance 33%
• Read-write Asymmetry 33%
• Reduced Data 33%
• Machine Learning Applications 33%

Computer Science

• Non-Volatile Memory 100%
• Random Decision Forest 100%
• Main Memory 75%
• Random Access Memory 50%
• Prediction Accuracy 50%
• Machine Learning Algorithm 50%
• Low Power Consumption 25%
• Big Data 25%
• Classification Problem 25%
• Evaluation Result 25%
• Memory Technology 25%
• Memory Hierarchy 25%
• Secondary Storage 25%
• Regression Problem 25%
• Read Performance 25%
• Machine Learning 25%
• Learning System 25%

Material Science

• Density 100%