---
title: "ICML 2006 — accepted papers — Elamur Research"
description: "ICML 2006 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/) / 2006

# ICML 2006 — accepted papers

ICML 2006 is the 2006 edition of the International Conference on Machine Learning (ICML). OpenAlex lists 141 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**141** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/#works) · [**2,520** citations of these works](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[The relationship between Precision-Recall and ROC curves ↗](https://doi.org/10.1145/1143844.1143874)**Jesse J. Davis, Mark H. Goadrich*6,315 citations*
2. **[Connectionist temporal classification ↗](https://doi.org/10.1145/1143844.1143891)**Alex Graves, Santiago Fernández, Faustino J. Gomez et al.*5,355 citations*
3. **[An empirical comparison of supervised learning algorithms ↗](https://doi.org/10.1145/1143844.1143865)**Rich Caruana, Alexandru Niculescu-Mizil*2,705 citations*
4. **[Dynamic topic models](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/)**David M. Blei, John Lafferty*2,386 citations · our summary*
5. **[Topic modeling ↗](https://doi.org/10.1145/1143844.1143967)**Hanna Wallach*1,058 citations*
6. **[Cover trees for nearest neighbor ↗](https://doi.org/10.1145/1143844.1143857)**Alina Beygelzimer, Sham M. Kakade, John C. Langford*813 citations*
7. **[R 1 -PCA ↗](https://doi.org/10.1145/1143844.1143880)**Chris H. Q. Ding, Ding Xuan Zhou, Xiaofeng He et al.*633 citations*
8. **[Practical solutions to the problem of diagonal dominance in kernel document clustering ↗](https://doi.org/10.1145/1143844.1143892)**Derek Greene, Pádraig Cunningham*616 citations*
9. **[Pachinko allocation ↗](https://doi.org/10.1145/1143844.1143917)**Wei Li, Andrew McCallum*609 citations*
10. **[Maximum margin planning ↗](https://doi.org/10.1145/1143844.1143936)**Nathan Ratliff, James Andrew Bagnell, Martin Zinkevich*606 citations*

## All accepted papers (141)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[The relationship between Precision-Recall and ROC curves ↗](https://doi.org/10.1145/1143844.1143874)**Jesse J. Davis, Mark H. Goadrich*6,315 citations*
2. **[Connectionist temporal classification ↗](https://doi.org/10.1145/1143844.1143891)**Alex Graves, Santiago Fernández, Faustino J. Gomez et al.*5,355 citations*
3. **[An empirical comparison of supervised learning algorithms ↗](https://doi.org/10.1145/1143844.1143865)**Rich Caruana, Alexandru Niculescu-Mizil*2,705 citations*
4. **[Dynamic topic models](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/)**David M. Blei, John Lafferty*2,386 citations · our summary*
5. **[Topic modeling ↗](https://doi.org/10.1145/1143844.1143967)**Hanna Wallach*1,058 citations*
6. **[Cover trees for nearest neighbor ↗](https://doi.org/10.1145/1143844.1143857)**Alina Beygelzimer, Sham M. Kakade, John C. Langford*813 citations*
7. **[R 1 -PCA ↗](https://doi.org/10.1145/1143844.1143880)**Chris H. Q. Ding, Ding Xuan Zhou, Xiaofeng He et al.*633 citations*
8. **[Practical solutions to the problem of diagonal dominance in kernel document clustering ↗](https://doi.org/10.1145/1143844.1143892)**Derek Greene, Pádraig Cunningham*616 citations*
9. **[Pachinko allocation ↗](https://doi.org/10.1145/1143844.1143917)**Wei Li, Andrew McCallum*609 citations*
10. **[Maximum margin planning ↗](https://doi.org/10.1145/1143844.1143936)**Nathan Ratliff, James Andrew Bagnell, Martin Zinkevich*606 citations*
11. **[Fast time series classification using numerosity reduction ↗](https://doi.org/10.1145/1143844.1143974)**Xiaopeng Xi, Eamonn Keogh, Christian R. Shelton et al.*591 citations*
12. **[Probabilistic inference for solving discrete and continuous state Markov Decision Processes ↗](https://doi.org/10.1145/1143844.1143963)**Marc Toussaint, Amos Storkey*482 citations*
13. **[Batch mode active learning and its application to medical image classification ↗](https://doi.org/10.1145/1143844.1143897)**Steven C. H. Hoi, Rong Jin, Jianke Zhu et al.*421 citations*
14. **[PAC model-free reinforcement learning ↗](https://doi.org/10.1145/1143844.1143955)**Alexander L. Strehl, Lihong C. Li, Eric Wiewiora et al.*384 citations*
15. **[Higher order learning with graphs ↗](https://doi.org/10.1145/1143844.1143847)**Sameer Agarwal, Kristin M. Branson, Serge Belongie*377 citations*
16. **[Local Fisher discriminant analysis for supervised dimensionality reduction ↗](https://doi.org/10.1145/1143844.1143958)**Masashi Sugiyama*370 citations*
17. **[Trading convexity for scalability ↗](https://doi.org/10.1145/1143844.1143870)**Ronan Collobert, Fabian H. Sinz, Jason Weston et al.*353 citations*
18. **[Active learning via transductive experimental design ↗](https://doi.org/10.1145/1143844.1143980)**Kai Yu, Jinbo Bi, Volker Tresp*344 citations*
19. **[Nightmare at test time ↗](https://doi.org/10.1145/1143844.1143889)**Amir Globerson, Sam T. Roweis*309 citations*
20. **[Constructing informative priors using transfer learning ↗](https://doi.org/10.1145/1143844.1143934)**Rajat Raina, Andrew Ng, Daphne Koller*299 citations*
21. **[Accelerated training of conditional random fields with stochastic gradient methods ↗](https://doi.org/10.1145/1143844.1143966)**S. V. N. Vishwanathan, Nicol Norbert Schraudolph, Mark Schmidt et al.*278 citations*
22. **[An analytic solution to discrete Bayesian reinforcement learning ↗](https://doi.org/10.1145/1143844.1143932)**Pascal Poupart, Nikos A. Vlassis, Jesse Hoey et al.*278 citations*
23. **[Agnostic active learning ↗](https://doi.org/10.1145/1143844.1143853)**Maria-Florina Balcan, Alina Beygelzimer, John C. Langford*270 citations*
24. **[Reinforcement learning for optimized trade execution ↗](https://doi.org/10.1145/1143844.1143929)**Yuriy Nevmyvaka, Yi Feng, Michael J. Kearns*261 citations*
25. **[Label propagation through linear neighborhoods ↗](https://doi.org/10.1145/1143844.1143968)**Fei Wang, Changshui Zhang*258 citations*

[See all 141 papers in ICML 2006 — accepted papers →](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Dynamic Topic Models](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**David M. Blei, John D. Lafferty*2006 · 2,520 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**David M. Blei**1 work here · 2,520 citations](https://md.research.elamur.ai/free/en/authors/david-m-blei/) · [🧑‍🔬**John Lafferty**1 work here · 2,520 citations](https://md.research.elamur.ai/free/en/authors/john-lafferty/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Princeton University** Princeton · United States 1 work here](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

works and citations from OpenAlex and our library.

- [← previous ICML 2005](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2005/)
- [next → ICML 2009](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/)
- [↑ back to ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)