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2 papers

2012Advances in Neural Information Processing Systems (NeurIPS) 2012, pp. 1097-1105

ImageNet Classification with Deep Convolutional Neural Networks

Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever

Finding: AlexNet won the ImageNet 2012 competition by a large margin (15.3% top-5 error vs 26.2% for the second best), proving that deep CNNs are highly effective on large-scale data.

CNN ImageNet

2001Machine Learning, vol. 45, no. 1, pp. 5-32, DOI: 10.1023/A:1010933404324

Random Forests

Leo Breiman

Finding: Random Forest was shown to outperform single trees and other ensemble methods, handling high-dimensional and noisy data well.

Random Forest decision tree