| Naslov: | Variational oblique predictive clustering trees |
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| Avtorji: | ID Andonovikj, Viktor, Institut "Jožef Stefan" (Avtor)
ID Džeroski, Sašo, Institut "Jožef Stefan" (Avtor)
ID Boshkoska, Biljana Mileva, Institut "Jožef Stefan" (Avtor)
ID Boškoski, Pavle, Institut "Jožef Stefan" (Avtor) |
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| Datoteke: |  URL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S0957417426001685
 PDF - Predstavitvena datoteka, prenos (2,20 MB)
MD5: B7052A9221ABA62354203C8B8EAD7BE2
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| Jezik: | Angleški jezik |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: |  IJS - Institut Jožef Stefan
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| Povzetek: | Oblique predictive clustering trees (SPYCTs) are semi-supervised multi-target prediction models mainly used for structured output prediction (SOP) problems. They are computationally efficient and when combined in ensembles they achieve state-of-the-art results. However, one major issue is that it is challenging to interpret an ensemble of SPYCTs without the use of a model-agnostic method. We propose variational oblique predictive clustering trees, which address this challenge. The parameters of each split node are treated as random variables, described with a probability distribution, and they are learned through the Variational Bayes method. We evaluate the model on several benchmark datasets of different sizes. The experimental analyses show that a single variational oblique predictive clustering tree (VSPYCT) achieves competitive, and sometimes better predictive performance than the ensemble of standard SPYCTs. We also present a method for extracting feature importance scores from the model. Finally, we present a method to visually interpret the model’s decision making process through analysis of the relative feature importance in each split node. |
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| Ključne besede: | machine learning, predictive clustering, interpretable models, structured output prediction, uncertainty quantification |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 29.04.2025 |
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| Datum sprejetja članka: | 15.01.2026 |
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| Datum objave: | 22.01.2026 |
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| Založnik: | Elsevier |
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| Leto izida: | 2026 |
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| Št. strani: | str. 1-31 |
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| Številčenje: | Vol. [article no.] 131255 |
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| Izvor: | Nizozemska |
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| PID: | 20.500.12556/DiRROS-27644  |
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| UDK: | 004.8 |
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| ISSN pri članku: | 1873-6793 |
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| DOI: | 10.1016/j.eswa.2026.131255 |
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| COBISS.SI-ID: | 266512899 |
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| Avtorske pravice: | © 2026 The Author(s). |
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| Opomba: | Nasl. z nasl. zaslona;
Soavtorji: Sašo Džeroski, Biljana Mileva Boshkoska, Pavle Boškoski;
Opis vira z dne 28. 1. 2026;
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| Datum objave v DiRROS: | 17.02.2026 |
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| Število ogledov: | 200 |
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| Število prenosov: | 62 |
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| Metapodatki: |    |
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