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Task graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) that can be executed on both HPC clusters and in the cloud. An important aspect of executing such graphs is the used scheduling algorithm. Many schedu
Externí odkaz:
http://arxiv.org/abs/2204.07211
Autor:
Pilato, Christian, Bohm, Stanislav, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cima, Vojtech, Cmar, Radim, Diamantopoulos, Dionysios, Ferrandi, Fabrizio, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Antonio, Pittaluga, Lorenzo, Raho, Daniel, Regazzoni, Francesco, Slaninova, Katerina, Hagleitner, Christoph
High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge extraction and decision making. Designers are moving towards a tight inte
Externí odkaz:
http://arxiv.org/abs/2103.04185
Autor:
Sturm, Noé, Mayr, Andreas, Van, Thanh Le, Chupakhin, Vladimir, Ceulemans, Hugo, Joerg Wegner, Jose-Felipe Golib-Dzib, Jeliazkova, Nina, Vandriessche, Yves, Böhm, Stanislav, Cima, Vojtech, Martinovic, Jan, Greene, Nigel, Aa, Tom Vander, Ashby, Thomas J., Hochreiter, Sepp, Engkvist, Ola, Klambauer, Günter, Hongming Chen
Additional file 1: Fig. S1. Compound distributions across the targets for the ExCAPE-ML dataset. Fig. S2. Targets per protein families. Notes S1. ExCAPE-ML Target Families. Notes S2. Clustering and Assignment of Clusters to Folds. Notes S3. Objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf0c7ba371a986922e2cb0a229ceb17
Akademický článek
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Autor:
Zitzlsberger, Georg, Cima, Vojtech
Support vector machine (SVM) based machine learning is used in a wide range of domains. It represents a family of supervised machine learning algorithms and is most commonly used for binary classification tasks. It can also be extended to multi-label
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f3fb1f3cd8786a9037efc6c9b93b55
Publikováno v:
2015 Sustainable Internet & ICT for Sustainability (SustainIT); 2015, p1-8, 8p