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  2. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  3. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  4. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.

  5. Relevance vector machine - Wikipedia

    en.wikipedia.org/wiki/Relevance_vector_machine

    In mathematics, a Relevance Vector Machine (RVM) is a machine learning technique that uses Bayesian inference to obtain parsimonious solutions for regression and probabilistic classification. [1]

  6. Free fatty acid receptor 4 - Wikipedia

    en.wikipedia.org/wiki/Free_fatty_acid_receptor_4

    FFAR4 is a rhodopsin-like GPR in the broad family of GPRs [7] which in humans are encoded by more than 800 different genes. [8] It is also a member of a small family of structurally and functionally related GPRs that include at least three other free fatty acid receptors (FFARs) viz., FFAR1 (also termed GPR40), FFAR2 (also termed GPR43), and ...

  7. GPR34 - Wikipedia

    en.wikipedia.org/wiki/GPR34

    G protein-coupled receptors (GPCRs), such as GPR34, are integral membrane proteins containing 7 putative transmembrane domains (TMs). These proteins mediate signals to the interior of the cell via activation of heterotrimeric G proteins that in turn activate various effector proteins, ultimately resulting in a physiologic response.[supplied by OMIM] [7]

  8. GPR3 - Wikipedia

    en.wikipedia.org/wiki/GPR3

    14748 Ensembl ENSG00000181773 ENSMUSG00000049649 UniProt P46089 P35413 RefSeq (mRNA) NM_005281 NM_008154 RefSeq (protein) NP_005272 NP_032180 Location (UCSC) Chr 1: 27.39 – 27.4 Mb Chr 4: 132.94 – 132.94 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse G-protein coupled receptor 3 is a protein that in humans is encoded by the GPR3 gene. The protein encoded by this gene is a member ...

  9. Radial basis function kernel - Wikipedia

    en.wikipedia.org/wiki/Radial_basis_function_kernel

    In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification.