Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Berck P"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
We construct all Finsler metrics on the two-sphere for which geodesics are circles and show that any (reversible) path geometry on a two-dimensional manifold is locally the system of geodesics of a Finsler metric.
Comment: 15 pages
Comment: 15 pages
Externí odkaz:
http://arxiv.org/abs/1002.0243
Publikováno v:
Pacific J. Math., 245 (2010), 201-225
It is shown that the volume entropy of a Hilbert geometry associated to an $n$-dimensional convex body of class $C^{1,1}$ equals $n-1$. To achieve this result, a new projective invariant of convex bodies, similar to the centro-affine area, is constru
Externí odkaz:
http://arxiv.org/abs/0810.1123
Autor:
Berck, Gautier
It is shown that if the Holmes-Thompson volume definition is used, totally geodesic submanifolds of a Finsler space are minimal. The analogous result for the Hausdorff measure is known to be false. ----- Nous montrons que les sous-varietes totalement
Externí odkaz:
http://arxiv.org/abs/math/0409320
Publikováno v:
Adv. Math. 204 (2006), no. 2, 647-663
We construct a class of Finsler metrics in three-dimensional space such that all their geodesics are lines, but not all planes are extremal for their Hausdorff area functionals. This shows that if the Hausdorff measure is used as notion of volume on
Externí odkaz:
http://arxiv.org/abs/math/0408413
Publikováno v:
Proceedings WVLC, Copenhagen
We introduce a memory-based approach to part of speech tagging. Memory-based learning is a form of supervised learning based on similarity-based reasoning. The part of speech tag of a word in a particular context is extrapolated from the most similar
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9607012
Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules
Publikováno v:
Proceedings COLING 1996, Copenhagen
We describe a case study in the application of {\em symbolic machine learning} techniques for the discovery of linguistic rules and categories. A supervised rule induction algorithm is used to learn to predict the correct diminutive suffix given the
Externí odkaz:
http://arxiv.org/abs/cmp-lg/9607013
Autor:
Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Sławomir Nowaczyk, Tobias Niklasson
Publikováno v:
Information, Vol 11, Iss 7, p 354 (2020)
Many industries today are struggling with early the identification of quality issues, given the shortening of product design cycles and the desire to decrease production costs, coupled with the customer requirement for high uptime. The vehicle indust
Externí odkaz:
https://doaj.org/article/2b3370953d88447eb0a232ecb4482697
Autor:
Matthew E Berck, Avinash Khandelwal, Lindsey Claus, Luis Hernandez-Nunez, Guangwei Si, Christopher J Tabone, Feng Li, James W Truman, Rick D Fetter, Matthieu Louis, Aravinthan DT Samuel, Albert Cardona
Publikováno v:
eLife, Vol 5 (2016)
The sense of smell enables animals to react to long-distance cues according to learned and innate valences. Here, we have mapped with electron microscopy the complete wiring diagram of the Drosophila larval antennal lobe, an olfactory neuropil simila
Externí odkaz:
https://doaj.org/article/596f2169fc2b49abbec0101dc4d59ab5
Autor:
Michael L Mann, Enric Batllori, Max A Moritz, Eric K Waller, Peter Berck, Alan L Flint, Lorraine E Flint, Emmalee Dolfi
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0153589 (2016)
The costly interactions between humans and wildfires throughout California demonstrate the need to understand the relationships between them, especially in the face of a changing climate and expanding human communities. Although a number of statistic
Externí odkaz:
https://doaj.org/article/7a528c94af004eacaa08b1d5f6cb9479