What question did this study set out to answer?

To compile and index peer-reviewed scholarly contributions presented at the 29th International Conference on Machine Learning.

July 19, 2012Open Access

Proceedings of the 29th International Conference on Machine Learning (ICML-12)

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Authors

JLJohn LangfordMott MacDonald (United Kingdom)JPJoëlle PineauCanadian Institute for Advanced Research

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Implication

Conference proceedings report advances in machine learning algorithms across computational domains, highlighting foundational progress in artificial intelligence.

Key Points

To compile and index peer-reviewed scholarly contributions presented at the 29th International Conference on Machine Learning.
Indexed technical papers accepted through peer review for the annual international conference.
Convened computer scientists and researchers in Edinburgh, Scotland, from June 27 to July 3, 2012.
Assembled an authoritative index of peer-reviewed articles advancing machine learning theory and applied systems.
Documented foundational algorithmic methods spanning supervised learning, unsupervised learning, and statistical optimization.

Cite This Study

Langford et al. (2012) studied this question.

synapsesocial.com/papers/6a0f4fa08f3ca410b09bca42 https://doi.org/10.48550/arxiv.1207.4676

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Implication

Conference proceedings report advances in machine learning algorithms across computational domains, highlighting foundational progress in artificial intelligence.

Proceedings of the 29th International Conference on Machine Learning (ICML-12)

Discussion

Member takes

Implication

Key Points

Cite This Study

Proceedings of the 29th International Conference on Machine Learning (ICML-12)

Discussion

Member takes

Implication

Key Points

Cite This Study

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