1. 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) |
2. Use of hybrid methods for neutron transport and sensitivity analysisBor Kos, 2020, doktorska disertacija Ključne besede: hybrid transport, variance reduction, nuclear data, sensitivity, uncertainty, shielding, fusion, fission, total Monte Carlo (TMC), MCNP, ADVANTG, Denovo, SUSD3D, SANDY Celotno besedilo (datoteka, 22,24 MB) |
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4. 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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6. V-RBNN based small drone detection in augmented datasets for 3D LADAR systemByeong Hak Kim, Danish Khan, Ciril Bohak, Wonju Choi, Hyun Jeong Lee, Min Young Kim, 2018, izvirni znanstveni članek Ključne besede: drone detection, clustering, 3D sensor, LiDAR, fusion data, 3D LADAR Celotno besedilo (datoteka, 5,31 MB) Gradivo ima več datotek! Več... |
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