Paul E. Utgoff

Statistical Learning Theory · 1984–2017

A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 8 citations into it

Whom Paul E. Utgoff trusts overall

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

1. J. Ross Quinlan
2. Jeffrey C. Schlimmer
3. Jirí Síma
4. David E. Rumelhart
5. Daphne Koller
6. Martin H. Anthony
7. James L. McClelland
8. Mehran Sahami
9. Leslie G. Valiant
10. G. Tesauro

Who trusts Paul E. Utgoff overall

1. J. Urgen Schmidhuber
2. Yoshua Bengio
3. Zhi-Hua Zhou
4. Lior Rokach
5. Jonathan Baxter
6. Yinzhi Cao
7. Pedro M. Domingos
8. Johannes Fürnkranz
9. Arie Ben-David
10. J. Kolter

Papers from Paul E. Utgoff's perspective

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

1. C4.5: Programs for Machine Learning
2. Multitask Learning
3. The Nature of Statistical Learning Theory
4. UCI Repository of machine learning databases
5. Pattern classification and scene analysis
6. ImageNet classification with deep convolutional neural networks
7. Neural Network Learning: Theoretical Foundations
8. Gradient-based learning applied to document recognition
9. Learning in Neural Networks: Theoretical Foundations
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Many-Layered Learning (2002) — 157 citations
• Encyclopedia of Machine Learning and Data Mining (2017) — 452 citations
• Incremental Learning (2017) — 108 citations
• MACHINE LEARNING An Artificial Intelligence Approach (2009)
• Decision Tree Induction Based on Efficient Tree Restructuring (1997)
• Multivariate Decision Trees (1995)
• A Teaching Method for Reinforcement Learning (1992)
• Incremental Induction of Decision Trees (1989)
• Shift of bias for inductive concept learning (1984)