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  2. Latent class model - Wikipedia

    en.wikipedia.org/wiki/Latent_class_model

    Because the criterion for solving the LCA is to achieve latent classes within which there is no longer any association of one symptom with another (because the class is the disease which causes their association), and the set of diseases a patient has (or class a case is a member of) causes the symptom association, the symptoms will be ...

  3. Mathematical modelling of infectious diseases - Wikipedia

    en.wikipedia.org/wiki/Mathematical_modelling_of...

    Such a program will protect vaccinated individuals from disease, but may change the dynamics of transmission. [citation needed] Suppose that a proportion of the population q (where q < q c) is immunised at birth against an infection with R 0 > 1. The vaccination programme changes R 0 to R q where = ()

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

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

    Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. 640 Text Classification 1999 [128] [129] M. Kudo et al. Parkinson's Telemonitoring Dataset Multiple recordings of people with and without Parkinson's Disease. Sound features extracted. 5875 Text Classification 2009 [130] [131]

  5. Ichthyosis - Wikipedia

    en.wikipedia.org/wiki/Ichthyosis

    Ichthyosis (also named fish scale disease) [1] is a family of genetic skin disorders characterized by dry, thickened, scaly skin. [2] The more than 20 types of ichthyosis range in severity of symptoms, outward appearance, underlying genetic cause and mode of inheritance (e.g., dominant, recessive , autosomal or X-linked ). [ 3 ]

  6. U-Net - Wikipedia

    en.wikipedia.org/wiki/U-Net

    There are many applications of U-Net in biomedical image segmentation, such as brain image segmentation (''BRATS'' [8]) and liver image segmentation ("siliver07" [9]) as well as protein binding site prediction. [10] U-Net implementations have also found use in the physical sciences, for example in the analysis of micrographs of materials.

  7. 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]

  8. Trump Cards | The Huffington Post

    trumpcards.huffingtonpost.com/?ref=producthunt

    Trump Cards | The Huffington Post

  9. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.