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Showing 1 to 8 of 8 for “"Ml Machine Learning"”.

  1. A system for storage and analysis of machine learning operations

    … go through an iterative process when building machine learning models. This process includes operations like feature selection, cross validation, model fitting, and evaluation, which are repeated until a sufficiently accurate model is produced. This thesis describes ModelDB Server and the …

    mit Repository record for A system for storage and analysis of machine learning operations (opens in a new tab)

  2. Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor

    … employing in-ground sensors inside the ML (Machine Learning) approach should produce a good correlation with the laboratory LOI (Loss on Ignition) tested samples. Two methods were used to gather the data: aerial images collected by UAVs displayed the vegetative index NDVI (Normalized …

    texas-state Repository record for Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor (opens in a new tab)

  3. Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor

    … employing in-ground sensors inside the ML (Machine Learning) approach should produce a good correlation with the laboratory LOI (Loss on Ignition) tested samples. Two methods were used to gather the data: aerial images collected by UAVs displayed the vegetative index NDVI (Normalized …

    tdl Repository record for Development of a Machine Learning Algorithm for the Estimation of Soil Organic Matter from the Integration of UAV and In-Ground Soil Sensor (opens in a new tab)

  4. Análises in silico e in vitro de peptídeos bioinspirados de plantas com atividade antimicrobiana contra patógenos de interesse à saúde pública

    … métodos probabilísticos, aprendizado de máquina (ML, machine learning), desempenha um papel crucial no design de novos fármacos, incluindo peptídeos antimicrobianos, ao facilitar a identificação de alvos terapêuticos e otimizar o perfil de eficácia e segurança dos candidatos a medicamentos como …

    brazil-ufpe Repository record for Análises in silico e in vitro de peptídeos bioinspirados de plantas com atividade antimicrobiana contra patógenos de interesse à saúde pública (opens in a new tab)

  5. Análisis predictivo del uso compulsivo de Internet en adolescentes: Hacia una herramienta de detección precoz para el profesional de enfermería escolar

    … y desarrollar modelos de aprendizaje automático (ML - Machine Learning) para identificar los factores de riesgo asociados al uso compulsivo de Internet en adolescentes escolarizados, con el fin de proponer una herramienta interpretable que facilite la detección precoz por parte del profesional de …

    murcia-diss Repository record for Análisis predictivo del uso compulsivo de Internet en adolescentes: Hacia una herramienta de detección precoz para el profesional de enfermería escolar (opens in a new tab)

  6. Advancing domain decomposition methods and entity resolution with graph neural networks

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

    uiuc Repository record for Advancing domain decomposition methods and entity resolution with graph neural networks (opens in a new tab)

  7. Multivariate Analysis in Research and Industrial Environments

    L'abstract è presente nell'allegato / the abstract is in the attachment

    poli-torino Repository record for Multivariate Analysis in Research and Industrial Environments (opens in a new tab)

  8. Machine Learning Methods for Modeling Synthesizable Molecules

    … is to be designed next. This thesis proposes new machine learning (ML) methods to augment chemists in the design and make steps of this process, focusing on the tasks of (a) how to use ML to predict chemical reaction outcomes, and (b) how to build generative models to search for new molecules. We …

    cambridge Repository record for Machine Learning Methods for Modeling Synthesizable Molecules (opens in a new tab)