Oscar Mauricio Caicedo Rendon

Computer Networks and Communications · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 62 citations into it
• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Oscar Mauricio Caicedo Rendon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jerome H. Friedman
2. Geoffrey E. Hinton
3. Richard S. Sutton

Papers from Oscar Mauricio Caicedo Rendon's perspective

Ordered by how strongly the researchers Oscar Mauricio Caicedo Rendon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Human-level control through deep reinforcement learning
3. A Fast Learning Algorithm for Deep Belief Nets
4. ImageNet classification with deep convolutional neural networks
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. Regression Shrinkage and Selection via the Lasso
7. Training Products of Experts by Minimizing Contrastive Divergence
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Greedy Layer-Wise Training of Deep Networks

Their papers

• A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018) — 955 citations