Results 51 to 60 of about 4,092,880 (310)

Clustering Evaluation in High-Dimensional Data [PDF]

, 2016
Clustering evaluation plays an important role in unsupervised learning systems, as it is often necessary to automatically quantify the quality of generated cluster configurations. This is especially useful for comparing the performance of different clustering algorithms as well as determining the optimal number of clusters in clustering algorithms that
Nenad Tomašev, Miloš Radovanović
openaire   +2 more sources

Outlier Detection in High Dimensional Data [PDF]

Journal of Information & Knowledge Management, 2020
High-dimensional data poses unique challenges in outlier detection process. Most of the existing algorithms fail to properly address the issues stemming from a large number of features. In particular, outlier detection algorithms perform poorly on dataset of small size with a large number of features.
Firuz Kamalov, Ho Hon Leung
openaire   +2 more sources

Longitudinal study of infants born preterm (

BMJ Open
Purpose The SEV-IDF programme aims to track infants born before 33 weeks of gestation, with very low birth weight (VLBW), neonatal encephalopathy or severe birth anomalies and perinatal disease.
Michèle Granier, Véronique Zupan-Simunek, Pascale Tubert‐Bitter, Alexandre Lapillonne, Matthieu Hanf, Audrey Rolland, Cécile Lebeaux, Lucas Anzelin, Anne C M Thiébaut, Laurence Leloup, Sylvie Escolano, Laurence Desplanques, SEV-IDF study group, Laureline Mathieu, Manuela Briand, Michèle Manière, Simona Sermasi, Nadia Medejel   +17 more
doaj   +1 more source

Replication Data for: Perovskite quantum dot one-dimensional topological laser

, 2023
Data for: Perovskite quantum dot one-dimensional topological ...
Tian, Jingyi
core   +1 more source

Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]

, 2010
Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication.
Nema Dean, Dean, Nema, Murphy, T.B., Raftery, A.E., Murphy, Thomas Brendan, Thomas Brendan Murphy, Raftery, Adrian E., Adrian E. Raftery, Dean, N.   +8 more
core   +1 more source

Dating the break in high-dimensional data

Bernoulli, 2023
This paper is concerned with estimation and inference for the location of a change point in the mean of independent high-dimensional data. Our change point location estimator maximizes a new U-statistic based objective function, and its convergence rate and asymptotic distribution after suitable centering and normalization are obtained under mild ...
Wang, Runmin, Shao, Xiaofeng
openaire   +2 more sources

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Variable Selection and Parameter Tuning in High-Dimensional Prediction [PDF]

, 2010
In the context of classification using high-dimensional data such as microarray gene expression data, it is often useful to perform preliminary variable selection.
Boulesteix, Anne-Laure, Bernau, Christoph   +1 more
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Nicola17/High-Dimensional-Inspector: First Release

, 2018
<p>Library for the scalable analysis of large high-dimensional data.</p> <p>It contains the A-tSNE and HSNE algorithms.</p ...
Thomas Höllt, Nicola Pezzotti
core   +1 more source