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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Dialog State Tracking Challenge The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems. Transcription of spoken dialogs with labelling DSTC2 contains ~3.2k calls – DSTC3 contains ~2.3k calls Json Dialogue state tracking 2014 [74]

  3. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence has brought widespread accessibility to machine learning (ML) tools, enabling developers to implement and experiment with ML models across various industries. Sci-kit Learn, Tensorflow, and PyTorch are three of the most widely used open-source ML libraries, each contributing unique capabilities to the field ...

  4. Surrogate model - Wikipedia

    en.wikipedia.org/wiki/Surrogate_model

    The scientific challenge of surrogate modeling is the generation of a surrogate that is as accurate as possible, using as few simulation evaluations as possible. The process comprises three major steps which may be interleaved iteratively: Sample selection (also known as sequential design, optimal experimental design (OED) or active learning)

  5. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  6. Multi-task learning - Wikipedia

    en.wikipedia.org/wiki/Multi-task_learning

    Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks. This can result in improved learning efficiency and prediction accuracy for the task-specific models, when compared to training the models separately.

  7. Competitive programming - Wikipedia

    en.wikipedia.org/wiki/Competitive_programming

    Google Summer of Code: Google Inc. An annual program in which Google awards stipends to hundreds of students who successfully complete a requested free software/open-source coding project during the summer. 2005 Mar-Aug Mar 23- Apr 3 Active Google Highly Open Participation Contest: Google Inc.

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  9. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    As powerful open‑source software under active development, HiGHS is increasingly being adopted by application software projects that provide support for numerical analysis. The SciPy scientific library, for instance, uses HiGHS as its LP solver [ 13 ] from release 1.6.0 [ 14 ] and the HiGHS MIP solver for discrete optimization from release 1. ...