Felix Stiehler

Conference on Empirical Methods in Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Felix Stiehler trusts overall

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

1. Corinna Cortes
2. Marius Kloft
3. Rong-En Fan

Who trusts Felix Stiehler overall

1. Minrui Fei

Papers from Felix Stiehler's perspective

Ordered by how strongly the researchers Felix Stiehler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Support-Vector Networks
2. LIBLINEAR: A Library for Large Linear Classification
3. Lessons learned from eClass: Assessing automated capture and access in the classroom (TCHI)
4. l p -Norm Multiple Kernel Learning
5. A training algorithm for optimal margin classifiers
6. The Nature of Statistical Learning Theory
7. ImageNet classification with deep convolutional neural networks
8. Statistical Learning Theory
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Fast Training of Support Vector Machines using Sequential Minimal Optimization

Their papers

• Predicting MOOC Dropout over Weeks Using Machine Learning Methods (2014) — 323 citations