Interpretable and Reliable Rule Classification Based on Conformal Prediction

Autor: Abdelqader, H., Smirnov, E., Pont, M., Geijselaers, M., Koprinska, I, Mignone, P, Guidotti, R, Jaroszewicz, S, Froning, H, Gullo, F, Ferreira, PM, Roqueiro, D, Ceddia, G, Nowaczyk, S, Gama, J, Ribeiro, R, Gavalda, R, Masciari, E, Ras, Z, Ritacco, E, Naretto, F, Theissler, A, Biecek, P, Verbeke, W, Schiele, G, Pernkopf, F, Blott, M, Bordino, I, Danesi, IL, Ponti, G, Severini, L, Appice, A, Andresini, G, Medeiros, I, Graca, G, Cooper, L, Ghazaleh, N, Richiardi, J, Saldana, D, Sechidis, K, Canakoglu, A, Pido, S, Pinoli, P, Bifet, A, Pashami, S

Publikováno v: MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I, 1752, 385-401
Communications in Computer and Information Science ISBN: 9783031236174

This paper deals with the challenging problem of simultaneously integrating interpretablility and reliability into prediction models in machine learning. It proposes to combine the interpretable models of decision rules with the reliable models based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff8f9296d85ce134932aec8ce39f83cb
https://doi.org/10.1007/978-3-031-23618-1_26

Ideas Worth Spreading: A Free Energy Proposal for Cumulative Cultural Dynamics

Autor: Kastel, N., Hesp, C., Kamp, M., Koprinska, I., Bibal, A., Bouadi, T., Frénay, B., Galárraga, L., Oramas, J., Adilova, L.

Publikováno v: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings, I, 784-798
Communications in Computer and Information Science ISBN: 9783030937355

While there is a fast growing body of theoretical work on characterizing cumulative culture, quantifiable models underlining its dynamics remain scarce. This paper provides an active-inference formalization and accompanying simulations of cumulative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff830de4d5aa3f8089298a432057a151
https://doi.org/10.1007/978-3-030-93736-2_55

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