Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 840

The DOI matches its Crossref record.

Proceedings of the 22nd international conference on Machine learning - ICML '05

·2005

Abstract

This volume, which is also available online from http://www.machinelearning.org, contains the papers accepted for presentation at ICML-2005, the 22nd lnternational Conference on Machine Learning, which was held at the University of Bonn in Germany from August 7 to August 11, 2005. ICML is the annual conference of the lnternational Machine Learning Society (IMLS), and forms an international forum for the discussion and presentation of the latest results in the field of machine learning. This year, ICML was co-located with the 15th lnternational Conference on Inductive Logic Programming (ILP-2005), the proceedings of which are published by Springer Verlag in a separate volume. The papers in this volume were selected on the basis of a thorough review process. In the first round of reviewing, three program committee members produced individual reviews for a paper. Authors then had the opportunity to view those reviews and submit an author's reply to the reviewers. Led by the responsible area chair, the reviewers then engaged in a discussion about the paper, ultimately leading to the decision by the program chairs. In sum, of the 491 papers that were initially submitted, 62 were accepted immediately, and a further 81 were conditionally accepted and reconsidered after resubmission in a second round of reviewing. Of those 81 conditionally accepted papers, 72 were finally accepted, leading to a total of 134 accepted papers, which translates into an acceptance rate of 27.3 %. The author reply was a new feature of ICML this year, while the option of working with conditional accepts has already become a tradition. In addition to the presentations of the accepted papers, the ICML program included several other features. On the first and last day of the conference, 11 workshops and 6 tutorials on current topics of machine learning were held. For many of these, proceedings and/or presentation materials are available online from the ICML website. The other days of the conference each featured an invited talk by a prominent researcher as a program highlight. We were delighted that Johannes Gehrke of Cornell University, Michael Jordan of the University of California at Berkeley, and Gerhard Widmer of the University of Linz in Austria, agreed to deliver an invited talk. The abstracts of their talks are also published as part of these proceedings. Continuing a long standing tradition at ICML, all papers presented in a talk at the conference were also exhibited at evening poster sessions, giving everyone ample time to discuss the results in depth. In order to emphasize the co-location with ILP-2005, the program contained joint elements in both invited speakers, paper sessions, poster sessions, and tutorials. As usual, the scientific program was complemented by a social program, this time featuring an excursion to the scenic surroundings of the city of Bonn. During the conference best paper and best student paper awards were presented, the former being sponsored by NICTA, the later by the Machine Learning Journal.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1102351

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 840

Metadata

Publisher
ACM Press
Published
2005
OpenAlex
W4247950230
Cited by
840
References
0
Type
paratext
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Proceedings of the 22nd international conference on Machine learning - ICML '05. https://app.cochat.ai/papers/10.1145/1102351
The paper
Proceedings of the 22nd international conference on Machine learning - ICML '05. (2005). https://doi.org/10.1145/1102351

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.