Results 11 to 20 of about 12,296,497 (289)
Log-mean linear models for binary data [PDF]
This paper introduces a novel class of models for binary data, which we call log-mean linear models. The characterizing feature of these models is that they are specified by linear constraints on the log-mean linear parameter, defined as a log-linear ...
A. Roverato +4 more
core +3 more sources
Genome-wide association studies of ischemic stroke based on interpretable machine learning [PDF]
Despite the identification of several dozen genetic loci associated with ischemic stroke (IS), the genetic bases of this disease remain largely unexplored.
Stefan Nikolić +4 more
doaj +2 more sources
Enhancing Profile and Context Aware Relevant Food Search through Knowledge Graphs
Foodbar is a Cloud-based gastroevaluation solution, leveraging IBM Watson cognitive services. It brings together machine and human intelligence to enable cognitive gastroevaluation of “tapas” or “pintxos” , i.e., small miniature bites or dishes.
Unai Zulaika +2 more
doaj +1 more source
Little Higgs Models and Precision Electroweak Data [PDF]
We study the low energy limit of Little Higgs models. The method consists in eliminating the heavy fields using their classical equations of motion in the infinite mass limit. After the elimination of the heavy degrees of freedom we can directly read off
Aldo Deandrea +16 more
core +4 more sources
Count data models for demographic data∗ [PDF]
"This paper deals with the estimation of single equation models in which the counts are regressed on a set of observed individual characteristics such as age, gender, or nationality.... We propose a generalized event count model to simultaneously allow for a wide class of count data models and account for over- and underdispersion.
Winkelmann, Rainer, Zimmermann, Klaus F
openaire +3 more sources
LADM Based Utility Network Cadastre in Serbia
The utility network cadastre in Serbia is the main register of utility lines and the rights to them. The Law on State Survey and Cadastre states the necessity for implementing a unified information system of both a real estate and utility network ...
Aleksandra Radulović +4 more
doaj +1 more source
SQL and NoSQL Databases in the Context of Industry 4.0
The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that big data and analytics is considered a technological pillar of this process.
Vitor Furlan de Oliveira +3 more
doaj +1 more source
Exploiting Inter- and Intra-Base Crossing with Multi-Mappings: Application to Environmental Data
Environmental data are currently gaining more and more interest as they are required to understand global changes. In this context, sensor data are collected and stored in dedicated databases.
Hicham Hajj-Hassan +2 more
doaj +1 more source
State-of-the-Art Geospatial Information Processing in NoSQL Databases
Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and ...
Dongming Guo, Erling Onstein
doaj +1 more source
Factor copula models for item response data [PDF]
Factor or conditional independence models based on copulas are proposed for multivariate discrete data such as item responses. The factor copula models have interpretations of latent maxima/minima (in comparison with latent means) and can lead to more ...
A. Maydeu-Olivares +29 more
core +1 more source

