Results 261 to 270 of about 1,095,657 (311)
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir +5 more
wiley +1 more source
Modelling the spatial distribution of deer using incomplete survey data
, 1996 Augustin, N. H. +2 more
core
Data Mining with Incomplete Data
, 2005 Survey is one of the common data acquisition methods for data mining (Brin, Rastogi & Shim, 2003). In data mining one can rarely find a survey data set that contains complete entries of each observation for all of the variables. Commonly, surveys and questionnaires are often only partially completed by respondents.
Hai Wang, Shouhong Wang
openaire +2 more sources
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Consistency of incomplete data
Information Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Patrick G. Clark +2 more
openaire +2 more sources
Statistical Methods in Medical Research, 2007
The researcher collecting hierarchical data is frequently confronted with incompleteness. Since the processes governing missingness are often outside the investigator's control, no matter how well the experiment has been designed, careful attention is needed when analyzing such data.We sketch a standard framework and taxonomy largely based on Rubin's ...
Caroline, Beunckens +3 more
openaire +2 more sources
The researcher collecting hierarchical data is frequently confronted with incompleteness. Since the processes governing missingness are often outside the investigator's control, no matter how well the experiment has been designed, careful attention is needed when analyzing such data.We sketch a standard framework and taxonomy largely based on Rubin's ...
Caroline, Beunckens +3 more
openaire +2 more sources
Gaussian kernels for incomplete data
Applied Soft Computing, 2019Abstract This paper discusses a method to estimate the expected value of the Gaussian kernel in the presence of incomplete data. We show how, under the general assumption of a missing-at-random mechanism, the expected value of the Gaussian kernel function has a simple closed-form solution.
Mesquita, Diego P.P. +5 more
openaire +2 more sources
On Difference of Means with Incomplete Data
Biometrika, 1974SUMMARY An estimate of the difference of means is obtained when sampling from a bivariate normal distribution with variances o-2 and o- and correlation p, where some observations on either of the variables are missing. It is shown that this estimate has desirable properties.
Lin, Pi-Erh, Stivers, Lawrence E.
openaire +1 more source
2001
Database technology, as well as the bulk of data mining technology, is founded upon logic, with absolute notions of truth and falsehood, at least with respect to the data set. Patterns are discovered exhaustively, with carefully engineered algorithms devised to determine all patterns in a data set that belong to a certain class.
openaire +1 more source
Database technology, as well as the bulk of data mining technology, is founded upon logic, with absolute notions of truth and falsehood, at least with respect to the data set. Patterns are discovered exhaustively, with carefully engineered algorithms devised to determine all patterns in a data set that belong to a certain class.
openaire +1 more source
Probabilistic Skyline on Incomplete Data
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017The skyline query is important in database community. In recent years, the researches on incomplete data have been increasingly considered, especially for the skyline query. However, the existing skyline definition on incomplete data cannot provide users with valuable references.
Kaiqi Zhang 0001 +4 more
openaire +1 more source