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Mostrando 1 - 20 Resultados de 6,101 Para Buscar 'Statistics - Machine Learning', tiempo de consulta: 0.24s Limitar resultados
  1. 1
    por Sugiyama, Masashi
    Publicado 2016
    Enlace del recurso
    Introduction to statistical machine learning
  2. 2
    por Gross, Eilam
    Publicado 2019
    Enlace del recurso
    Statistics + Machine Learning for HEP
  3. 3
    por Gross, Eilam
    Publicado 2019
    Enlace del recurso
    Statistics + Machine Learning for HEP
  4. 4
    por Gross, Eilam
    Publicado 2019
    Enlace del recurso
    Statistics + Machine Learning for HEP
  5. 5
    por De Castro Manzano, Pablo
    Publicado 2018
    “…<!--HTML-->Complex machine learning tools, such as deep neural networks and gradient boosting algorithms, are increasingly being used to construct powerful discriminative features for High Energy Physics analyses. …”
    Enlace del recurso
    Direct Learning of Systematics-Aware Summary Statistics
  6. 6
    por Unpingco, José
    Publicado 2016
    “…This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. …”
    Enlace del recurso
    Enlace del recurso
    Python for probability, statistics, and machine learning
  7. 7
    por Sugiyama, Masashi
    Publicado 2015
    Enlace del recurso
    Statistical reinforcement learning: modern machine learning approaches
  8. 8
    por Dehmer, Matthias, Basak, Subhash C
    Publicado 2012
    “… Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. …”
    Enlace del recurso
    Statistical and machine learning approaches for network analysis
  9. 9
    por Tonelli, Diego
    Publicado 2017
    Enlace del recurso
    Statistics and Machine Learning for HEP 2/3
  10. 10
    por Tonelli, Diego
    Publicado 2017
    Enlace del recurso
    Statistics and Machine Learning for HEP 1/3
  11. 11
    por Tonelli, Diego
    Publicado 2017
    Enlace del recurso
    Statistics and Machine Learning for HEP 3/3
  12. 12
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Application of statistical machine learning in biomarker selection
  13. 13
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Statistical Machine Learning for Human Behaviour Analysis
  14. 14
    Enlace del recurso
    Machine learning: a practical approach on the statistical learning theory
  15. 15
    por Iniesta, R., Stahl, D., McGuffin, P.
    Publicado 2016
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Machine learning, statistical learning and the future of biological research in psychiatry
  16. 16
    por Bonnin, Rodolfo
    Publicado 2017
    Enlace del recurso
    Machine learning for developers: uplift your regular applications with the power of statistics, analytics, and machine learning
  17. 17
    por DasGupta, Anirban
    Publicado 2011
    Enlace del recurso
    Enlace del recurso
    Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics
  18. 18
    “…Additionally, model assessment and interpretation are often more challenging for ML than for classical statistical methods. To address these challenges, we develop an integrated framework, combining statistical modeling and machine learning approaches to identify the coding properties of neurons from large populations. …”
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    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Integrating Statistical and Machine Learning Approaches for Neural Classification
  19. 19
    “…Machine learning (ML) approaches can play a major role in the interpretation of multi-OMICS in nutrition research. …”
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    Online Artículo Texto
    Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
  20. 20
    por Spisak, Tamas
    Publicado 2022
    “…RESULTS: The test provides a strict control for type I errors and high statistical power, even for nonnormally and nonlinearly dependent predictions, often seen in machine learning. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Statistical quantification of confounding bias in machine learning models
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