Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jakub Šmíd"'
Publikováno v:
Acta Carsologica, Vol 28, Iss 2 (2016)
Na področju Perzijskega zaliva je znanih okoli 200 solnih diapirjev, med njimi mnogo aktivnih. Kraške kamnine predstavljajo največ kamena sol in redkeje sadra ter anhidrid. Kraške oblike, popolnoma primerljive z oblikami v “klasičnih” karbon
Externí odkaz:
https://doaj.org/article/f6f3185169ea48faa36b91a12fe2d217
Publikováno v:
Acta Carsologica, Vol 29, Iss 2 (2016)
Debelino krovnine je mogoče razporediti v 4 razrede. Za vsakega so značilne posebne površinske in podzemeljske kraške oblike: 1. solni izdanki; 2. tanka krovnina (0,5 - 2 m); 3. zmerno debela krovnina (5 - 30 m); 4. zelo debela krovnina (preko 30
Externí odkaz:
https://doaj.org/article/67cd86e63b89497d85d9ffae2ddc6245
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783031162695
This paper deals with cross-lingual sentiment analysis in Czech, English and French languages. We perform zero-shot cross-lingual classification using five linear transformations combined with LSTM and CNN based classifiers. We compare the performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b7bdf8cf76948be91377b4e3b159cf
http://arxiv.org/abs/2209.07244
http://arxiv.org/abs/2209.07244
Publikováno v:
Acta Carsologica. 29
Debelino krovnine je mogoce razporediti v 4 razrede. Za vsakega so znacilne posebne povrsinske in podzemeljske kraske oblike: 1. solni izdanki; 2. tanka krovnina (0,5 - 2 m); 3. zmerno debela krovnina (5 - 30 m); 4. zelo debela krovnina (preko 30 m).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5060a3109e05bb0f21c69421bdb23841
https://doi.org/10.3986/ac.v29i2.448
https://doi.org/10.3986/ac.v29i2.448
Publikováno v:
CEC
Metalearning deals with an important problem in machine-learning, namely selecting the right techniques to model the data at hand. In most of the metalearning approaches, a notion of similarity between datasets is needed. Our approach derives the sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772f02e22f6bd3b0d41dc418971e80c8
https://doi.org/10.1109/cec.2015.7257020
https://doi.org/10.1109/cec.2015.7257020
Autor:
Jakub Šmíd, Roman Neruda
Publikováno v:
CIDM
Metalearning approach to the model selection problem - exploiting the idea that algorithms perform similarly on similar datasets - requires a suitable metric on the dataset space. One common approach compares the datasets based on fixed number of fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db967e606791791124031d0c172c7828
https://doi.org/10.1109/cidm.2014.7008148
https://doi.org/10.1109/cidm.2014.7008148
Publikováno v:
Studia Geophysica et Geodaetica. 49:191-212
The degree of the anisotropy of magnetic susceptibility (AMS) of basaltic rocks, as is known from the large AMS database of these rocks, is generally very low, while in more acidic volcanic rocks such as andesites, trachytes and phonolites, which hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a58c6973727070cb80387a6c171f50b9
https://doi.org/10.1007/s11200-005-0005-5
https://doi.org/10.1007/s11200-005-0005-5
Publikováno v:
ICMLA (2)
With the growing amount of data available in today's world, the emphasis is laid on the automatic configuration of data analysis - metal earning. This paper elaborates one of the metal earning sub problems, the data mining method recommendation. Base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::901dc1e3097a6d891f341a1658e5a01f
https://doi.org/10.1109/icmla.2013.148
https://doi.org/10.1109/icmla.2013.148
Publikováno v:
2013 IEEE Conference on Cybernetics and Intelligent Systems (CIS).
Metalearning - a method for recommendation the most suitable data-mining algorithm to an unknown dataset - is an important problem that needs to be solved in order to design a completely autonomous data-mining solver. This paper deals with this parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f302491dd0f6bc9c79f56c2c27306336
https://doi.org/10.1109/iccis.2013.6751590
https://doi.org/10.1109/iccis.2013.6751590
Autor:
Roman Neruda, Jakub Šmíd
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642372124
ICANNGA
ICANNGA
This paper deals with the problem of choosing the most suitable model for a new data mining task. The metric is proposed on the data mining tasks space, and similar tasks are identified based on this metric. A function estimating models performance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3578bd124ae82eafcc78f8f5bea331d
https://doi.org/10.1007/978-3-642-37213-1_18
https://doi.org/10.1007/978-3-642-37213-1_18