Using a random forest to inspire a neural network and improving on it

Keyphrases

• Neural Network 100%
• Random Forest 100%
• Machine Learning Techniques 20%
• Popular 20%
• Generalization Accuracy 20%
• Learning Problems 20%
• Domain-specific Architecture 20%
• Problem Domain 20%
• Decision Tree 20%
• Benchmark Dataset 20%
• Forest Structure 20%
• Back Propagation Algorithm 20%
• Training Examples 20%
• Neural Network Architecture 20%
• Convolutional Networks 20%
• Generalization Ability 20%
• Deep Learning 20%
• Speech Recognition 20%
• Image Recognition 20%
• Traditional Machine Learning 20%
• Real-world Benchmark 20%

Computer Science

• Neural Network 100%
• Random Decision Forest 100%
• Experimental Result 14%
• Learning Problem 14%
• Training Example 14%
• Constant Factor 14%
• Convolutional Network 14%
• Problem Domain 14%
• Speech Recognition 14%
• Generalization Ability 14%
• Learning System 14%
• Machine Learning 14%
• Deep Learning Method 14%
• Decision Tree 14%
• Backpropagation Algorithm 14%