Robert Craig Holte

Artificial Intelligence · 1993–2006

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 129 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #6,217 of 35,345 by trust here, #10,942 by citations
• Statistical Learning Theory — 10 citations into it; #742 of 1,038 by trust here, #770 by citations
• Algorithms & Complexity — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it; #211 of 3,147 by trust here, #1,217 by citations

Whom Robert Craig Holte trusts overall

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

1. J. Ross Quinlan
2. Wray L. Buntine
3. Pedro M. Domingos
4. Peter Auer
5. Peter Clark
6. Tim Niblett
7. Andrew P. Bradley
8. Steven L. Salzberg
9. Jeffrey C. Schlimmer
10. Gary M. Weiss

Who trusts Robert Craig Holte overall

1. Cynthia Rudin
2. Sreerama K. Murthy
3. Ulrich Rückert
4. Pedro M. Domingos
5. S. Kotsiantis
6. Nadia Burkart
7. Tjen-Sien Lim
8. Peter R. Rijnbeek
9. Xingquan Zhu
10. Eric Bauer

Papers from Robert Craig Holte's perspective

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

1. Gradient-based learning applied to document recognition
2. Induction of decision trees
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Nearest neighbor pattern classification
5. ImageNet classification with deep convolutional neural networks
6. C4.5: Programs for Machine Learning
7. MetaCost: a general method for making classifiers cost-sensitive
8. Long Short-Term Memory
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. UCI Repository of machine learning databases

Their papers

• Cost curves: An improved method for visualizing classifier performance (2006) — 364 citations
• Elaboration on Two Points Raised in “Classifier Technology and the Illusion of Progress” (2006) — 9 citations
• C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling (2003) — 1,123 citations
• Approximating game-theoretic optimal strategies for full-scale poker (2003) — 285 citations
• Reduction Techniques for Instance-Based Learning Algorithms (2000) — 1,298 citations
• Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (1995)
• Very Simple Classification Rules Perform Well on Most Commonly Used Datasets (1993)