Results 141 to 150 of about 2,824,860 (307)
Stability of randomized learning algorithms
, 2005 We extend existing theory on stability, namely how much changes in the training data influence the estimated models, and generalization performance of deterministic learning algorithms to the case of randomized algorithms.
Pack Kaelbling +3 more
core
A randomized algorithm for k-colorability
Discrete Mathematics, 1994 The author tests a straightforward generalization of \textit{A. D. Petford} and \textit{D. J. A. Welsh} [A randomized 3-colouring algorithm, Discrete Math. 74, No. 1/2, 253-261 (1989; Zbl 0667.05025)] on randomly generated samples of 4- and 10-colourable graphs, and he conjectures that the curious critical regions found in the case of 3-colourings are ...
openaire +2 more sources
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
On the use of biased-randomized algorithms for solving non-smooth optimization problems
Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Ferrer Biosca, Albert +4 more
core
A Method for Obtaining Randomized Algorithms with Small Tail Probabilities
, 1996 We study strategies for converting randomized algorithms of the Las Vegas type into randomized algorithms with small tail ...
Wigderson, A. +4 more
core
Randomized Algorithms and How Society Uses Them Everyday [PDF]
, 2020 Randomness is an interesting and very beneficial phenomenon. In computer science randomness facilitates great advances in efficiency but topics like randomized algorithms aren’t taught until someone enters graduate school.
Milano, Rosaley
core
comparison-based algorithms are robust and randomized algorithms are anytime.
, 2007 International audienceRandomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good performance.
Teytaud, Olivier +2 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks +8 more
wiley +1 more source
A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham +7 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer +28 more
wiley +1 more source