Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tomasz Łukaszuk"'
Autor:
Tomasz Łukaszuk, Jerzy Krawczuk
Publikováno v:
PeerJ, Vol 12, p e18405 (2024)
Classifiers trained on high-dimensional data, such as genetic datasets, often encounter situations where the number of features exceeds the number of objects. In these cases, classifiers typically rely on a small subset of features. For a robust algo
Externí odkaz:
https://doaj.org/article/a0a1ef5d3671444bbf14c638621d5e67
Autor:
Tomasz Łukaszuk
Publikováno v:
Polish Political Science Yearbook, Vol 49, Iss 4, Pp 105-127 (2020)
The article’s purpose is the multidimensional analysis of the evolution of Australia and India’s maritime policies and their impact on the endeavors to develop their maritime cooperation in the 21st century. Two research questions are to be answe
Externí odkaz:
https://doaj.org/article/c7793f060b704364a47b026e922fdc86
Autor:
Leon Bobrowski, Tomasz Łukaszuk, Bengt Lindholm, Peter Stenvinkel, Olof Heimburger, Jonas Axelsson, Peter Bárány, Juan Jesus Carrero, Abdul Rashid Qureshi, Karin Luttropp, Malgorzata Debowska, Louise Nordfors, Martin Schalling, Jacek Waniewski
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86630 (2014)
Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods. The applicability of the relaxed linear separability (RLS
Externí odkaz:
https://doaj.org/article/0ed82540aed94ce3a435002ee2463c0e
Autor:
Tomasz Łukaszuk
Publikováno v:
Handbook of Indo-Pacific Studies ISBN: 9781003336143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd923d80b423ab8b063a23785b6d7c89
https://doi.org/10.4324/9781003336143-19
https://doi.org/10.4324/9781003336143-19
Autor:
Tomasz Łukaszuk
Publikováno v:
Studia Politologiczne. 2020:231-254
The primary purpose of the article is to present the long term ties between India and Central Europe, and examine the transformation of their relationship after the end of the Cold War. Using J.A. Braveboy-Wagner’s liberal approach to diplomacy and
Autor:
Leon Bobrowski, Tomasz Łukaszuk, Lidia Gaffke, Zuzanna Cyske, Mariusz Ferenc, Karolina Pierzynowska, Grzegorz Węgrzyn
Publikováno v:
Journal of applied genetics. 63(2)
Rare disease datasets are typically structured such that a small number of patients (cases) are represented by multidimensional feature vectors. In this report, we considered a rare disease, mucopolysaccharidosis (MPS). This disease is divided into 1
Autor:
Tomasz Łukaszuk, Mariusz Ferenc
Publikováno v:
Studies in Logic, Grammar and Rhetoric, Vol 56, Iss 1, Pp 193-204 (2018)
Resources of professional companies operating on the medical services market contain data from a huge number of transactional documents. This allows them to collect and process, among other actions, information about medical products. Organized data
Autor:
Tomasz Łukaszuk, Leon Bobrowski
Publikováno v:
Proceedings of the International Neural Networks Society ISBN: 9783030805678
EANN
EANN
Complex layers of formal neurons can be designed on data sets built from a relatively small number of multidimensional feature vectors. Data sets with this structure can almost always be separated linearly. Genetic data sets typically have this prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d88bfad7e32b2708385e57e4e3c620e2
https://doi.org/10.1007/978-3-030-80568-5_36
https://doi.org/10.1007/978-3-030-80568-5_36
Autor:
Leon Bobrowski, Tomasz Łukaszuk, Lidia Gaffke, Zuzanna Cyske, Mariusz Ferenc, Karolina Pierzynowska, Grzegorz Węgrzyn
Publikováno v:
Journal of Applied Genetics. 63:595-595
Autor:
Tomasz Łukaszuk, Leon Bobrowski
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030420574
ACIIDS (2)
ACIIDS (2)
Designing linear classifiers from a small number of high-dimensional feature vectors is linked to a special principle of the maximal margin. This situation occurs, among others during building linear classifiers from genetic data sets. Maximizing mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed028b8df22f8a59dcab2a03752ef0ab
https://doi.org/10.1007/978-3-030-42058-1_7
https://doi.org/10.1007/978-3-030-42058-1_7