Zobrazeno 1 - 10
of 3 293
pro vyhledávání: '"Peter Willett"'
Autor:
Peter Willett
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-3 (2024)
Abstract This article highlights research from the last century that has provided the basis for the searching techniques that are used in present-day cheminformatics systems, and thus provides an acknowledgement of the contributions made by early pio
Externí odkaz:
https://doaj.org/article/53c1c11b20f944ed8c63da03eaca5829
Autor:
Thomas Kropfreiter, Florian Meyer, David F. Crouse, Stefano Coraluppi, Franz Hlawatsch, Peter Willett
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 1089-1106 (2024)
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking (MHT) methods are widely used for multitarget tracking (MTT). However, they are known to exhibit undesirable behavior in tracking scenarios with targets in cl
Externí odkaz:
https://doaj.org/article/46a8f96f09ac49b2a7be99a59ea86939
Autor:
Mansourian, Yazdan
Publikováno v:
Mansourian, Yazdan Chemoinformatics and the world wide web : an interview with Professor Peter Willett. Webology, 2006, vol. 3, n. 2. [Journal article (Unpaginated)]
Information science is an interdisciplinary area of study which has strong links with a wide range of subjects. As a consequence of these interactions, a couple of branches have been emerged in information science during the past few decades. For exa
Externí odkaz:
http://eprints.rclis.org/7909/
Autor:
Peter Willett
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-5 (2022)
Abstract This commentary provides an overview of the publications in, and the citations to, the first twelve volumes of the Journal of Cheminformatics, covering the period 2009–2020. The analysis is based on the 622 articles that have appeared in t
Externí odkaz:
https://doaj.org/article/1dea5b16158d4831bf376c1df3aaaf43
Autor:
Paolo Braca, Leonardo M. Millefiori, Augusto Aubry, Stefano Marano, Antonio De Maio, Peter Willett
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 464-495 (2022)
We study the performance of Machine Learning (ML) classification techniques. Leveraging the theory of large deviations, we provide the mathematical conditions for a ML classifier to exhibit error probabilities that vanish exponentially, say $\exp (-n
Externí odkaz:
https://doaj.org/article/dbfaf65ed2604742a1d01e9e79807588
Autor:
Mattia Brambilla, Domenico Gaglione, Giovanni Soldi, Rico Mendrzik, Gabriele Ferri, Kevin D. LePage, Monica Nicoli, Peter Willett, Paolo Braca, Moe Z. Win
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 169-195 (2022)
This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions. Agents have to both localize themselves in the sensor network and, at the same time, perform multitarget tracking in the presence of cl
Externí odkaz:
https://doaj.org/article/18bb01c9b50145bb90ccf20a52798af1
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 372-386 (2022)
Multi-object data fusion – combining measurements or estimates of more than one truth object from more than one observer – requires a first “data association” step of deciding which data have common truth objects. Here we focus on the case of
Externí odkaz:
https://doaj.org/article/947d3a4a077b492d8577231a2094888b
Autor:
Spidle, Jake W.
Publikováno v:
Journal of Sport History, 1984 Apr 01. 11(1), 115-117.
Externí odkaz:
https://www.jstor.org/stable/43609300
Autor:
Cone, Carl B.
Publikováno v:
The Register of the Kentucky Historical Society, 1983 Oct 01. 81(4), 431-432.
Externí odkaz:
https://www.jstor.org/stable/23381171