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4. Learning by fusing heterogeneous dataMarinka Žitnik, 2015, doktorska disertacija Ključne besede: gene function prediction, gene prioritization, network inference, collective matrix factorization, matrix completion, factor models, data fusion, bioinformatics, statistical relational learning, machine learning Celotno besedilo (datoteka, 11,84 MB) |
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6. Towards a data-integrated cellNoël Malod-Dognin, Julia Petschnigg, Sam F. L. Windels, Janez Povh, Harry Hemmingway, Robin Ketteler, Nataša Pržulj, 2019, izvirni znanstveni članek Ključne besede: non-negative matrix factorization, data integration, cancer-related genes, pan-cancer genes, integrated cell, biological networks Celotno besedilo (datoteka, 1,39 MB) Gradivo ima več datotek! Več... |
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8. Incremental matrix factorization for simultaneous learning from parallel data streamsMartin Jakomin, 2019, doktorsko delo/naloga Ključne besede: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator Celotno besedilo (datoteka, 2,91 MB) |
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10. Automatic grammatical evolution-based optimization of matrix factorization algorithmMatevž Kunaver, Arpad Bürmen, Iztok Fajfar, 2022, izvirni znanstveni članek Ključne besede: matrix factorization, genetic programming, grammatical evolution, recommender systems, meta-optimization Celotno besedilo (datoteka, 422,01 KB) Gradivo ima več datotek! Več... |