Results 131 to 140 of about 12,738,743 (318)
An optimal stopping problem in a diffusion-type model with delay [PDF]
We present an explicit solution to an optimal stopping problem in a model described by a stochastic delay differential equation with an exponential delay measure. The method of proof is based on reducing the initial problem to a free-boundary problem and
Pavel V. Gapeev, Markus Reiß
core
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto +12 more
wiley +1 more source
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models. [PDF]
Loughman M +3 more
europepmc +1 more source
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou +6 more
wiley +1 more source
Most Powerful Test Sequences with Early Stopping Options. [PDF]
Tarima S, Flournoy N.
europepmc +1 more source
Generalized Dystonia With Cervical Predominance in a Patient With a De Novo TCF20 Variant
ABSTRACT TCF20 has been implicated in developmental delay and intellectual disability, with dystonia reported less frequently. We describe a woman in her early twenties with childhood‐onset learning difficulties, progressive dysarthria, tremor, and generalized dystonia with marked cervical predominance, associated with a de novo TCF20 frameshift ...
Melisa Kilic +7 more
wiley +1 more source
Validation can be used to detect when over#tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over#tting ##early stopping"#.
Lutz Prechelt
core
NYTRO: When Subsampling Meets Early Stopping
Early stopping is a well known approach to reduce the time complexity for performing training and model selection of large scale learning machines. On the other hand, memory/space (rather than time) complexity is the main constraint in many applications,
Rosasco L, Rudi A, Angles T, Camoriano R
core +2 more sources
A generic battery-cycling optimization framework with learned sampling and early stopping strategies. [PDF]
Deng C, Kim A, Lu W.
europepmc +1 more source
Glucagon‐Like Peptide‐1 Receptor Agonists in Multiple Sclerosis: A Topical Narrative Review
ABSTRACT The glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) are a relatively new class of drugs that were initially approved by the US Food and Drug Administration to improve glycemic control in patients with type 2 diabetes mellitus and, subsequently, weight reduction in patients with obesity.
Audrey Y. Chang, Farrah J. Mateen
wiley +1 more source

