Results 121 to 130 of about 9,484,631 (302)

Optimising Selective Sampling for Bootstrapping Named Entity Recognition [PDF]

, 2005
Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Hachey, Benjamin Clayton, Hachey, Ben, Grover, Claire, Grover, Claire; id_orcid, Alex, Beatrice, Becker, Markus   +5 more
core  

Statistical Policy Working Paper 2. Report on Statistical Disclosure and Disclosure: Avoidance Techniques [PDF]

This report is about techniques for avoiding disclosure of confidential information about individuals (natural and legal persons) in connection with the release of statistical tabulations and microdata files (computerized records pertaining to individual
United States. Federal Committee on Statistical Methodology
core   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Proactive distractor suppression in early visual cortex

eLife
Avoiding distraction by salient yet irrelevant stimuli is critical when accomplishing daily tasks. One possible mechanism to accomplish this is by suppressing stimuli that may be distracting such that they no longer compete for attention.
David Richter, Dirk van Moorselaar, Jan Theeuwes   +2 more
doaj   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

Exploiting statistical regularities in implicit sequence learning

, 2017
Despite the long research tradition it is not clear what is learned in implicit sequence learning. Is learning based simply on the sensitivity to the frequencies of sequence element transitions (i.e., statistical learning of sequence transitions) or is ...
Meier, Beat
core  

Report on Statistical Disclosure Limitation Methodology [PDF]

Originally Prepared by Subcommittee on Disclosure Limitation Methodology 1994; Revised by Confidentiality and Data Access Committee 2005The Federal Committee on Statistical Methodology (FCSM) was organized by the Office of Management and Budget (OMB) in ...
United States. Federal Committee on Statistical Methodology
core   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Statistical Policy Working Paper 6. Report on Statistical Uses of Administrative Records [PDF]

The first portion of this report provides a review of major administrative report files pertaining to individuals and to businesses. Major statistical uses of administrative records are outlined, including: (1) direct use of the records to obtain ...
United States. Federal Committee on Statistical Methodology
core   +1 more source

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu, Changgeng Song, Dianwei Wu, Xiaoqian Niu, Jianmin Hao, Lijuan Liu, Xiaogang Kang, Wen Jiang   +7 more
wiley   +1 more source