Search results
- 1.0577144 - ÚI 2024 RIV CH eng J - Journal Article
Štěpánek, Lubomír - Dlouhá, Jana - Martinková, Patrícia
Item Difficulty Prediction Using Item Text Features: Comparison of Predictive Performance across Machine-Learning Algorithms.
Mathematics. Roč. 11, č. 19 (2023), č. článku 4104. ISSN 2227-7390
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : text-based item difficulty prediction * text features and item wording * machine learning * regularization methods * elastic net regression * support vector machines * regression and decision trees * random forests * neural networks * algorithm vs. domain expert’s prediction performance
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.4, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.3390/math11194104
Permanent Link: https://hdl.handle.net/11104/0346365File Download Size Commentary Version Access 0577144-aoa.pdf 1 715.6 KB OA CC BY 4.0 Publisher’s postprint open-access - 2.0572686 - ÚJČ 2024 RIV CZ cze J - Journal Article
Sláma, Jakub - Štěpánková, B.
Postavení ambipozic v češtině.
[The position of ambipositions in Czech.]
Slovo a slovesnost. Roč. 84, č. 2 (2023), s. 91-121. ISSN 0037-7031
Institutional support: RVO:68378092
Keywords : adposition * ambiposition * cognitive linguistics * the complexity principle * random forests * syntactic variants * word-order
OECD category: Linguistics
Impact factor: 0.1, year: 2022
Method of publishing: Open access
https://asjournals.lib.cas.cz/slovoaslovesnost/article/uuid:c91e151f-fba6-4456-8c5b-569f20408af9
Permanent Link: https://hdl.handle.net/11104/0351261 - 3.0532137 - ÚVGZ 2021 RIV NL eng J - Journal Article
Horemans, J. A. - Janssens, I. A. - Gielen, B. - Roland, M. - Deckmyn, G. - Verstraeten, A. - Neirynck, J. - Ceulemans, Reinhart
Weather, pollution and biotic factors drive net forest atmosphere exchange of CO2 at different temporal scales in a temperate-zone mixed forest.
Agricultural and Forest Meteorology. Roč. 291, SEP (2020), č. článku 108059. ISSN 0168-1923. E-ISSN 1873-2240
Institutional support: RVO:86652079
Keywords : gross primary productivity * carbon-dioxide exchange * interannual variability * functional-changes * european forests * fluxes * patterns * climate * trends * respiration * Eddy covariance flux * Random forests * Time series decomposition * Ozone pollution * Carbon
OECD category: Agriculture
Impact factor: 5.734, year: 2020
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0168192320301611?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0310733 - 4.0522793 - ÚI 2021 RIV CH eng B - Monography
Holeňa, Martin - Pulc, P. - Kopp, M.
Classification Methods for Internet Applications.
Springer: Cham, 2020. 281 s. Studies in Big Data, 69. ISBN 978-3-030-36961-3
Institutional support: RVO:67985807
Keywords : Spam filtering * Recommender systems * Malware detection * Network intrusion detection * Random forests * Classifier comprehensibility * Support vector machines * Nearest neighbours classification * Bayesian classifiers
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0307224 - 5.0522404 - ÚI 2021 RIV GB eng J - Journal Article
Kopp, M. - Pevný, T. - Holeňa, Martin
Anomaly explanation with random forests.
Expert Systems With Applications. Roč. 149, 1 July (2020), č. článku 113187. ISSN 0957-4174. E-ISSN 1873-6793
R&D Projects: GA ČR GA17-01251S
Grant - others:GA ČR(CZ) GA18-21409S
Program: GA
Institutional support: RVO:67985807
Keywords : Anomaly detection * Anomaly explanation * Classification rules * Feature selection * Random forests
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 6.954, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.eswa.2020.113187
Permanent Link: http://hdl.handle.net/11104/0306903 - 6.0405581 - UIVT-O 330961 RIV CZ eng K - Conference Paper (Czech conference)
Kotrč, Emil
A Brief Comparison of Two Weighing Strategies for Random Forest.
[Stručné porovnání dvou strategií vážení pro Random Forests.]
Doktorandský den '05. Praha: MATFYZPRESS, 2005 - (Hakl, F.), s. 58-64. ISBN 80-86732-56-8.
[Doktorandský den '05. Nový Dvůr (CZ), 05.10.2005-07.10.2005]
R&D Projects: GA AV ČR 1ET100300517
Institutional research plan: CEZ:MSM6840770010
Keywords : random forests * leaf confidences * weighted voting
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125735File Download Size Commentary Version Access 0405581.pdf 0 709.4 KB Publisher’s postprint open-access - 7.0405534 - UIVT-O 330912 RIV CZ cze K - Conference Paper (Czech conference)
Klaschka, Jan - Kotrč, Emil
Klasifikační a regresní lesy.
[Classification and Regression Forests.]
Současné metody statistické analýzy a modelování pro technickou praxi a výzkum. Pardubice: TriloByte Statistical Software, 2005 - (Kupka, K.), s. 89-100. ISBN 80-239-4847-4.
[Analýza dat 2004/II pro technickou inženýrskou a výzkumnou veřejnost. Celostátní seminář. Lázně Bohdaneč (CZ), 29.11.2004-01.12.2004]
R&D Projects: GA MŠMT ME 701; GA AV ČR 1ET100300517
Institutional research plan: CEZ:MSM6840770010
Keywords : klasifikační stromy * klasifikační lesy * bagging * boosting * arcing * random forests
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125692 - 8.0405317 - UIVT-O 330688 RIV CZ cze K - Conference Paper (Czech conference)
Klaschka, Jan - Kotrč, Emil
Klasifikační a regresní lesy.
[Classification and Regression Forests.]
Robust 2004. Sborník prací 13.letní školy JČMF. Praha: JČMF, 2004 - (Antoch, J.; Dohnal, G.), s. 177-184. ISBN 80-7015-972-3.
[ROBUST 2004. Letní škola JČMF /13./. Třešť (CZ), 07.06.2004-11.06.2004]
R&D Projects: GA MŠMT ME 701; GA ČR GA201/02/1456
Institutional research plan: CEZ:AV0Z1030915
Keywords : klasifikační stromy * klasifikační lesy * bagging * boosting * arcing * random forests
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0125490 - 9.0390801 - ÚI 2013 RIV PT eng C - Conference Paper (international conference)
Klaschka, Jan
Combining Individual and Global Tree-based Models in EEG Classification.
Bulletin of the International Statistical Institute. Lisabon: Instituto Nacional de Estatística, 2008 - (Gomes, M.; Pinto Martins, J.; Silva, J.), s. 3786-3789. ISBN 978-972-673-992-0.
[ISI 2007. Session of the International Statistical Institute /56./. Lisboa (PT), 22.08.2007-29.08.2007]
R&D Projects: GA MŠMT ME 701
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG spectra * classification forest * random forests * OOB estimates
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0219633File Download Size Commentary Version Access 0390801.pdf 0 584.9 KB Author´s preprint open-access - 10.0390576 - ÚI 2013 RIV NL eng C - Conference Paper (international conference)
Klaschka, Jan
Avoiding overfit by restricted model search in tree-based EEG classification.
Proceedings of the 58th World Statistics Congress 2011. The Hague: International Statistical Institute, 2012, s. 5077-5082. ISBN 978-90-73592-33-9.
[ISI 2011. Session of the International Statistical Institute /58./. Dublin (IE), 21.08.2011-26.08.2011]
R&D Projects: GA MŠMT ME 949
Institutional research plan: CEZ:AV0Z10300504
Keywords : model search * electroencephalography * classification trees and forests * random forests
Subject RIV: BB - Applied Statistics, Operational Research
http://2011.isiproceedings.org/papers/950644.pdf
Permanent Link: http://hdl.handle.net/11104/0219441File Download Size Commentary Version Access a0390576.pdf 0 167.1 KB Publisher’s postprint require 0390576.pdf 1 688.5 KB Author´s preprint open-access