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  1. Há 3 dias · We used N-mixture models with a multi-stage model selection procedure to assess the influence of aquatic and terrestrial predictors on abundance, including several 3-dimensional forest structure metrics derived from airborne Light Detection and Ranging (LiDAR) data.

  2. Há 2 dias · Currently, supervised models such as SVM, neural networks (NNs), decision trees, and unsupervised models like one-class SVM, one-class NN, and clustering approaches are being researched to implement in real-time industrial applications. 16, 17 However, based on the available historical data, these AI approaches can only detect the fault and notify the root cause of the detected fault condition.

  3. 30 de abr. de 2024 · We expect papers to draw upon theories and models from HRM, entrepreneurship, growth, strategy, organizational behavior and psychology. For more details, please see here . Submission window: 1-28 February 2025

  4. en.wikipedia.org › wiki › Model_theoryModel theory - Wikipedia

    Há 3 dias · In mathematical logic, model theory is the study of the relationship between formal theories (a collection of sentences in a formal language expressing statements about a mathematical structure ), and their models (those structures in which the statements of the theory hold). [1] The aspects investigated include the number and size ...

  5. 9 de mai. de 2024 · Kehinde Wiley, American artist best known for portraits that feature African Americans in the traditional settings of Old Master paintings. His fame exploded after his portrait of former president Barack Obama was unveiled in 2018. Learn more about Wiley’s life and career in this article.

    • Debra N. Mancoff
  6. Há 4 dias · General linear models. The general linear model considers the situation when the response variable is not a scalar (for each observation) but a vector, yi. Conditional linearity of is still assumed, with a matrix B replacing the vector β of the classical linear regression model.

  7. 10 de mai. de 2024 · In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure.

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