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  2. Input–output model - Wikipedia

    en.wikipedia.org/wiki/Inputoutput_model

    Inputoutput planning was never adopted because the material balance system had become entrenched in the Soviet economy, and inputoutput planning was shunned for ideological reasons. As a result, the benefits of consistent and detailed planning through inputoutput analysis were never realized in the Soviet-type economies .

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [58] [59] [60] Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla RailSem19 RailSem19 is a dataset for understanding scenes for vision systems on railways. The dataset is labeled semanticly and ...

  4. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    Extended MNIST (EMNIST) is a newer dataset developed and released by NIST to be the (final) successor to MNIST. [ 15 ] [ 16 ] MNIST included images only of handwritten digits. EMNIST includes all the images from NIST Special Database 19 (SD 19), which is a large database of 814,255 handwritten uppercase and lower case letters and digits.

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

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

    A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. ImageNet - Wikipedia

    en.wikipedia.org/wiki/ImageNet

    In 2021, ImageNet-1k was updated by annotating faces appearing in the 997 non-person categories. They found training models on the dataset with these faces blurred caused minimal loss in performance. [31] ImageNetV2 was a new dataset containing three test sets with 10,000 each, constructed by the same methodology as the original ImageNet. [32]

  8. Regional Input–Output Modeling System - Wikipedia

    en.wikipedia.org/wiki/Regional_InputOutput...

    The Regional InputOutput Modeling System (RIMS II) is a regional economic model developed and maintained by the US Bureau of Economic Analysis (BEA).. Regional inputoutput multipliers such as the RIMS II multipliers allow estimates of how a one-time or sustained increase in economic activity in a particular region will impact other industries located in the region—i.e., estimating ...

  9. International Input–Output Association - Wikipedia

    en.wikipedia.org/wiki/International_Input...

    The International InputOutput Association (IIOA) is a scientific, nonprofit, membership organization to facilitate development of inputoutput analysis in economics and interdisciplinary areas of inquiry. Inputoutput models and analysis in economics were developed by Nobel Laureate Wassily Leontief. Leontief worked from transactions ...