Results 91 to 100 of about 1,421,625 (273)

A reaction network scheme for hidden Markov model parameter learning. [PDF]

open access: yesJ R Soc Interface, 2023
Wiuf C   +3 more
europepmc   +1 more source

Toward Optimal Run Racing: Application to Deep Learning Calibration

open access: yes, 2017
This paper aims at one-shot learning of deep neural nets, where a highly parallel setting is considered to address the algorithm calibration problem - selecting the best neural architecture and learning hyper-parameter values depending on the dataset at ...
Bousquet, Olivier   +6 more
core  

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou   +15 more
wiley   +1 more source

Structural Changes in Nonlocal Denoising Models Arising Through Bi-Level Parameter Learning. [PDF]

open access: yesAppl Math Optim, 2023
Davoli E   +3 more
europepmc   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Learning as filtering: Implications for spike-based plasticity

open access: yesPLoS Computational Biology, 2022
Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters.
Jannes Jegminat   +2 more
doaj  

Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham   +29 more
wiley   +1 more source

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling. [PDF]

open access: yesNat Commun, 2021
Tsai WP   +7 more
europepmc   +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey   +8 more
wiley   +1 more source

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