Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marcus Pappik"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031221040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb79283792d60b82cf2bce80fc1cc315
https://doi.org/10.1007/978-3-031-22105-7_22
https://doi.org/10.1007/978-3-031-22105-7_22
Publikováno v:
HAL
We study algorithmic applications of a natural discretization for the hard-sphere model and the Widom-Rowlinson model in a region $\mathbb{V}\subset\mathbb{R}^d$. These models are used in statistical physics to describe mixtures of one or multiple pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b24a9f0f2679cfe6c53dfb2460cdd40
polymer models are systems of weighted objects, called polymers, equipped with an incompatibility relation. An important quantity associated with such models is the partition function, which is the weighted sum over all sets of compatible polymers. V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d003b0d97303063227cfc1e7a299bb
Autor:
Pascal Lenzner, Louise Molitor, David Stangl, Marcus Pappik, Tobias Friedrich, Hagen Echzell, Fabian Sommer, Friedrich Schöne
Publikováno v:
Web and Internet Economics ISBN: 9783030353889
WINE
WINE
The phenomenon of residential segregation was captured by Schelling’s famous segregation model where two types of agents are placed on a grid and an agent is content with her location if the fraction of her neighbors which have the same type as her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::024456d2801de10aac0a869d7eb298e8
https://doi.org/10.1007/978-3-030-35389-6_12
https://doi.org/10.1007/978-3-030-35389-6_12
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification
Publikováno v:
Discovery Science ISBN: 9783030017705
DS
DS
Transformation of multivariate time series into feature spaces are common for data mining tasks like classification. Ordinality is one important property in time series that provides a qualitative representation of the underlying dynamic regime. In a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e379c34bd8fa664cc30447941cb63fc5
https://doi.org/10.1007/978-3-030-01771-2_15
https://doi.org/10.1007/978-3-030-01771-2_15
Autor:
Axel Stebner, Daniel Thevessen, Louis Kirsch, Marcus Pappik, Niklas Riekenbrauck, Arvind Kumar Shekar, Alexander Meissner, Emmanuel Müller, Julius Kunze
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712727
ECML/PKDD (3)
ECML/PKDD (3)
Feature selection is an essential step to identify relevant and non-redundant features for target class prediction. In this context, the number of feature combinations grows exponentially with the dimension of the feature space. This hinders the user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c0c684559981714a92a284e6cf038f
https://doi.org/10.1007/978-3-319-71273-4_40
https://doi.org/10.1007/978-3-319-71273-4_40