Results 11 to 20 of about 536,582 (323)
Gaussian Graphical Models: An Algebraic and Geometric Perspective [PDF]
arXiv, 2017 Gaussian graphical models are used throughout the natural sciences, social sciences, and economics to model the statistical relationships between variables of interest in the form of a graph. We here provide a pedagogic introduction to Gaussian graphical models and review recent results on maximum likelihood estimation for such models.
Caroline Uhler
arxiv +5 more sources
Operations for Learning with Graphical Models [PDF]
Journal of Artificial Intelligence Research, Vol 2, (1994),
159-225, 1994 This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, directed graphs representing a Markov chain, and undirected networks representing a Markov field.
Buntine, W. L.
arxiv +3 more sources
A strategic and operational view of competitiveness and cohesion in the European context [PDF]
Eastern Journal of European Studies, 2010 The persistence of spatial developmental disparities suggests that the strategic directions of any initiative targeting regional competitiveness should follow the lines of (1) maximizing its competitive impact and (2) matching the territorial specificity.
Valentin COJANU
doaj +2 more sources
Big Data and Cognitive ComputingBuilding information modeling (BIM) is undeniably the most important trend in the digitization of the construction sector in recent years. BIM models currently being built are extremely geometrically rich, that is, they are modeled at a high level of ...
Andrzej Szymon Borkowski, Marta Maroń
doaj +4 more sources
Perspectives on the Analysis of Graphical Documents
, 2006 Graphics Recognition is a branch of document analysis that focuses on the recovery of graphical information in documents. Graphics consist of spatial arrangements of symbols ; examples include engineering drawings, maps, architectural drawings, music scores, tables, and charts.
Josep Lladós
+8 more sources
MTC: Visualization method of assessing physical movements with dribbling performance of basketball based in 3D Space [PDF]
Journal of Graphic Engineering and Design, 2023 We present a basketball training visualization method – Motion Time Cylinder (MTC) designed to help novice players learn basketball techniques more easily.
Mengru Liu, Newman Lau, Kelly Tang
doaj +1 more source
The roles of motion, gesture, and embodied action in the processing of mathematical concepts
Frontiers in Psychology, 2022 This article discusses perspective and frame of reference in the metaphorical description of mathematical concepts in terms of motions, gestures, and embodied actions. When a mathematical concept is described metaphorically in terms of gestures, embodied
Omid Khatin-Zadeh +5 more
doaj +1 more source
LUMAT, 2021 The concept of derivative is used in many areas including applied problems and requiring mathematical modelling in different disciplines. One of the most important approaches for teaching the derivative is to support students in visualizing the concept ...
Aytug Ozaltun-Celik
doaj +1 more source
A unifying causal framework for analyzing dataset shift-stable learning algorithms
Journal of Causal Inference, 2022 Recent interest in the external validity of prediction models (i.e., the problem of different train and test distributions, known as dataset shift) has produced many methods for finding predictive distributions that are invariant to dataset shifts and ...
Subbaswamy Adarsh +2 more
doaj +1 more source
A New Software for Patient Dose Extraction and Assessment from CT DICOM Images [PDF]
Iranian Journal of Medical Physics, 2023 Introduction: Radiation dose monitoring is an important objective of radiation safety and quality assurance program. The purpose of this study was to develop an automated approach for monitoring and estimating patient radiation doses from Computed ...
Tabarak Darkal +2 more
doaj +1 more source