Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Miron, B."'
We discuss the Ces`aro operator on the Hardy space in the upper half-plane. We provide a new simple proof of the boundedness of this operator, prove that this operator is equal to the sum of the identity operator and a unitary operator, which implies
Externí odkaz:
http://arxiv.org/abs/2405.19627
A function which is analytic and bounded in the Unit disk is called a generator for the Hardy space or the Bergman space if polynomials in that function are dense in the corresponding space. We characterize generators in terms of sub-spaces which are
Externí odkaz:
http://arxiv.org/abs/2304.04119
Autor:
Miron, B., Li, G., Quintanilha, J.C.F., Clark, A., Scott, T., Ross, J.S., Oxnard, G.R., Pasquina, L.W., Graf, R.P., Gupta, S.
Publikováno v:
In ESMO Real World Data and Digital Oncology March 2024 3
Autor:
Ludwikowska, Kamila M., Popiel, Aneta, Matkowska-Kocjan, Agnieszka, Biela, Mateusz, Wójcik, Marta, Szenborn, Filip, Wielgos, Katarzyna, Pielka-Markiewicz, Ewa, Zaryczański, Janusz, Kursa, Miron B, Szenborn, Leszek
Publikováno v:
In Vaccine 16 May 2023 41(21):3317-3327
Publikováno v:
Concrete Operators, Vol 9, Iss 1, Pp 151-159 (2022)
In this article we continue our investigation of the Paatero space. We prove that the intersection of every Paatero class V(k) with every Hardy space Hp is closed in that Hp and associate singular continuous measures to elements of V(k). There have b
Externí odkaz:
https://doaj.org/article/38d5811ff08f42e7994e20c57f7f6b59
Publikováno v:
Complex Analysis & Operator Theory; Dec2024, Vol. 19 Issue 1, p1-9, 9p
Autor:
Kursa, Miron B.
Assuming a view of the Random Forest as a special case of a nested ensemble of interchangeable modules, we construct a generalisation space allowing one to easily develop novel methods based on this algorithm. We discuss the role and required propert
Externí odkaz:
http://arxiv.org/abs/1501.04244
In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings a
Externí odkaz:
http://arxiv.org/abs/1403.7746
Publikováno v:
Foundations of Intelligent Systems, Lecture Notes in Computer Science Volume 7661, 2012, pp 208-217
In this paper, we first apply random ferns for classification of real music recordings of a jazz band. No initial segmentation of audio data is assumed, i.e., no onset, offset, nor pitch data are needed. The notion of random ferns is described in the
Externí odkaz:
http://arxiv.org/abs/1305.5078
Autor:
Kursa, Miron B.
Gene selection is an important part of microarray data analysis because it provides information that can lead to a better mechanistic understanding of an investigated phenomenon. At the same time, gene selection is very difficult because of the noisy
Externí odkaz:
http://arxiv.org/abs/1305.4525