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Št. zadetkov: 8
RF+clust for leave-one-problem-out performance prediction
Ana Nikolikj, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algorithm performance prediction;automated machine learning;zero-shot learning;black-box optimization;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
DynamoRep
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: black-box single-objective optimization;optimization problem classification;problem representation;meta-learning;
DynamoRep
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Sensitivity analysis of RF+clust for leave-one-problem-out performance prediction
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: strojno učenje;automated performance prediction;autoML;single-objective black-box optimization;zero-shot learning;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Quantifying individual and joint module impact in modular optimization frameworks
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: metapodatki;strojno učenje;meta-learning;single-objective optimization;module importance;
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Generalization ability of feature-based performance prediction models
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: metapodatki;strojno učenje;meta-learning;single-objective optimization;module importance;
This study examines the generalization ability of algorithm performance prediction models across various bench-mark suites. Comparing the statistical similarity between the problem collections with the accuracy of performance prediction models that are based on exploratory landscape analysis feature ...
Leto: 2024 Vir: Institut Jožef Stefan (IJS)
Algorithm instance footprint
Ana Nikolikj, Sašo Džeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: black-box optimization;algorithms;problem instances;machine learning;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
PS-AAS
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Janković, Ana Nikolikj, Urban Škvorc, Peter Korošec, Carola Doerr, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: automated algorithm selection;portfolio selection;black box optimization;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Assessing the generalizability of a performance predictive model
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries P. Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov
Objavljeni znanstveni prispevek na konferenci
Oznake: algorithms;predictive models;machine learning;
Leto: 2023 Vir: Institut Jožef Stefan (IJS)
Št. zadetkov: 8
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