Lawrence M. Rudner

Information Theory · 2001–2009

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Information Theory — 5 citations into it

Whom Lawrence M. Rudner trusts overall

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

1. Claude E. Shannon
2. Andrew McCallum
3. T. Landauer
4. T. Liang
5. Huaiyu Zhu
6. Kamal Nigam
7. Peter W. Foltz
8. Darrell Laham

Who trusts Lawrence M. Rudner overall

1. Semire Dikli
2. Fei Dong
3. Helen Yannakoudakis
4. Jie Yang
5. Ted Briscoe
6. Sandip Sinharay
7. R. Ferrari
8. Richard J. Torraco
9. M. Hiebl
10. Dadi Ramesh

Papers from Lawrence M. Rudner's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. A comparison of event models for naive bayes text classification
3. An introduction to latent semantic analysis
4. A mathematical theory of communication
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Scoring and Classifying Examinees Using Measurement Decision Theory
8. Computing the Expected Proportions of Misclassified Examinees.
9. Automated Essay Scoring Using Bayes' Theorem
10. Long Short-Term Memory

Their papers

• Scoring and Classifying Examinees Using Measurement Decision Theory (2009) — 94 citations
• An Examination of Decision-Theory Adaptive Testing Procedures (2009) — 62 citations
• Expected Classification Accuracy (2005) — 66 citations
• Automated Essay Scoring Using Bayes' Theorem (2002) — 294 citations
• Computing the Expected Proportions of Misclassified Examinees. (2001) — 52 citations