Results 51 to 60 of about 72,455 (264)

Graph Huber: a robust regression model for graph data

Xibei Gongye Daxue Xuebao
As it is increasingly prevalent that data contains noise or obeys heavy-tailed distribution, a robust regression model becomes one of focal and hot topics in many study fields.
SU Meihong, WANG Jiaxing, LI Yan, ZHANG Hai   +3 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

The Comprehensive Live Cell‐Based Cytotoxicity Assay for Monitoring Disease Activity and Guiding Rescue Therapy in Acute Attacks of NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a devastating neurological disease that lacks serological biomarkers that can accurately reflect disease activity. We established a live cell‐based assay (LCBA) using serum with endogenous complement to quantify the overall cytotoxicity, offering a novel functional tool for monitoring
Xiaona Xu, Jie Ding, Yupeng Du, Guibao Luo, Jinming Li, Rui Liu, Xiaoyi Xu, Xiao Li, Minshu Li, Wei Jiang, Chunsheng Yang   +10 more
wiley   +1 more source

Learning with Spectral Kernels and Heavy-Tailed Data

CoRR, 2009
Two ubiquitous aspects of large-scale data analysis are that the data often have heavy-tailed properties and that diffusion-based or spectral-based methods are often used to identify and extract structure of interest. Perhaps surprisingly, popular distribution-independent methods such as those based on the VC dimension fail to provide nontrivial ...
Michael W. Mahoney, Hariharan Narayanan
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Heavy-Tailed Linear Regression and K-Means

Information
Most standard machine learning algorithms are formulated with the implicit assumption that empirical data are “well-behaved”. In this work, we consider heavy-tailed data whose underlying distribution does not necessarily possess finite moments.
Mario Sayde, Jihad Fahs, Ibrahim Abou-Faycal   +2 more
doaj   +1 more source

Characterizing the Heterogeneity of the OpenStreetMap Data and Community

ISPRS International Journal of Geo-Information, 2015
OpenStreetMap (OSM) constitutes an unprecedented, free, geographical information source contributed by millions of individuals, resulting in a database of great volume and heterogeneity.
Ding Ma, Mats Sandberg, Bin Jiang
doaj   +1 more source

Transformations In Hazard Rate Estimation For Heavy-Tailed Data

IFAC Proceedings Volumes, 2013
Abstract A new estimate of the hazard rate function is proposed, specifically designed for situations when the underlying data are heavy tailed. The estimate is nonparametric in nature and is based on the concept that estimation bias is reduced both in body and in the tail through an appropriate transformation of the sample.
openaire   +1 more source

High‐Temperature Phase Transformation in a V‐9Si‐6.5B Alloy: The Kinetic and Crystallographic Pathway From V5SiB2 to V8SiB4

Advanced Engineering Materials, EarlyView.
In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti, Andreas Stark, Roja Rani Korrayi, Florian Pyczak, Georg Hasemann   +4 more
wiley   +1 more source

A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on a Gaussian–Student’s t-Mixture Model

Remote Sensing
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei, Yingbin Lin, Jun Wang, Yajun Zeng, Fangrui Qu, Xuan Zhou, Zhuotong Lu   +6 more
doaj   +1 more source