Results 41 to 50 of about 14,568,367 (342)

Typed topology and its application to data set [PDF]

Topology and its Applications Volume 342, 1 February 2024, 108760, 2023
The concept of $typed$ $topology$ is introduced. In a typed topological space, some open sets are assigned "types", and topological concepts such as closure, connectedness can be defined using types. A finite data set in $R^2$ is a typically typed topological space.
arxiv  

Chain graph models of multivariate regression type for categorical data [PDF]

, 2011
We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models is shown to be Markov equivalent to those of a chain ...
Lupparelli, Monia, Marchetti, Giovanni M.   +1 more
core   +1 more source

Semantics for first-order affine inductive data types via slice categories [PDF]

, 2020
Affine type systems are substructural type systems where copying of information is restricted, but discarding of information is permissible at all types. Such type systems are well-suited for describing quantum programming languages, because copying of quantum information violates the laws of quantum mechanics.
arxiv   +1 more source

Consistency types for replicated data in a higher-order distributed programming language [PDF]

The Art, Science, and Engineering of Programming, 2021, Vol. 5, Issue 2, Article 6, 2019
Distributed systems address the increasing demand for fast access to resources and fault tolerance for data. However, due to scalability requirements, software developers need to trade consistency for performance. For certain data, consistency guarantees may be weakened if application correctness is unaffected.
arxiv   +1 more source

AlgaTerra Information System: Types data and data types [PDF]

Proceedings of the 1st Central European Diatom Meeting 2007, 2007
AlgaTerra is an information system for micro algal biodiversity (Jahn & Kusber 2007) which has been online since 2004. The database is a concept based implementation of the Berlin Model, developed at the BGBM, Berlin. The basic data have been researched within a joint project of five German research groups between 2001 and 2005 (R.
Wolf-Henning Kusber, W. H. Jahn Kusber, Regine Jahn   +2 more
openaire   +2 more sources

New UBVRI colour distributions in E-type galaxies I.The data [PDF]

, 2002
New colour distributions have been derived from wide field UBVRI frames for 36 northern bright elliptical galaxies and a few lenticulars. The classical linear representations of colours against log r were derived, with some improvements in the accuracy ...
Borges, Bower, Bower, Bressan, Bressan, Carlberg, Carollo, Charlot, Chiosi, Davidge, Davies, Davies, de Freitas Pacheco, de Freitas Pacheco, de Freitas Pacheco, de Freitas Pacheco, Faber, Faber, Fisher, Franx, Fusi-Pecci, Gibson, Goudfrooij, Henry, Idiart, Idiart, Idiart, J. A. de Freitas Pacheco, , Kobayashi, Kodama, Kuntschner, Larson, Larson, Matteucci, Matteucci, Matteucci, Michard, Michard, Michard, Michard, Peletier, R. Michard, Saglia, Schweizer, T. P. Idiart, Tamura, Tantalo, Tantalo, Tantalo, Terlevich, Terlevich, Trager, Vandenberg, Visvanathan, White, Worthey, Worthey, Yoshii   +57 more
core   +2 more sources

Recognizing the Data Type of Firmware Data Segments With Deep Learning

IEEE Access, 2020
Data segment analysis is of great value for firmware analysis. The data segment contains abundant information such as pointers and strings which is helpful for accelerating the process of code segment analysis.
Ruiqing Xiao, Yuefei Zhu, Bin Lu, Xiaoya Zhu, Shengli Liu   +4 more
doaj   +1 more source

ptype: Probabilistic Type Inference [PDF]

Data Mining and Knowledge Discovery (2020), 2019
Type inference refers to the task of inferring the data type of a given column of data. Current approaches often fail when data contains missing data and anomalies, which are found commonly in real-world data sets. In this paper, we propose ptype, a probabilistic robust type inference method that allows us to detect such entries, and infer data types ...
arxiv   +1 more source

Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data [PDF]

, 2012
We study Newton type methods for inverse problems described by nonlinear operator equations $F(u)=g$ in Banach spaces where the Newton equations $F'(u_n;u_{n+1}-u_n) = g-F(u_n)$ are regularized variationally using a general data misfit functional and a ...
A Antoniadis, A Tsybakov, AB Bakushinskiĭ, AB Bakushinskiĭ, B Blaschke, B Hofmann, B Hofmann, B Kaltenbacher, C Brune, D Colton, D Paganin, E Resmerita, F Bauer, F Bauer, Frank Werner, J Flemming, JM Bardsley, JM Borwein, K Giewekemeyer, M Benning, M Bertero, M Burger, M Hanke, M Hanke, M Hegland, MV Klibanov, NE Hurt, O Ivanyshyn, O Scherzer, P Massart, P Mathé, P Mathé, P Reynaud-Bouret, RI Bot, T Hohage, T Hohage, Thorsten Hohage, ZB Xu   +37 more
core   +2 more sources

MCF Tree-Based Clustering Method for Very Large Mixed-Type Data Set

IEEE Access, 2021
Several clustering methods have been proposed for analyzing numerous mixed-type data sets composed of numeric and categorical attributes. However, existing clustering methods are not suitable for clustering very large mixed-type data sets because they ...
Hyeong-Cheol Ryu, Sungwon Jung
doaj   +1 more source