Results 41 to 50 of about 608,359 (265)
Gradient-Boosted Decision Tree Optimizer for Antenna Optimization
The use machine learning-assisted optimization methods in the design of antennas have been increasing. Although neural networks (NNs) and Gaussian process regression (GPR) are widely used, their scalability to higher dimensions poses several challenges ...
Oguzhan Engin +2 more
doaj +1 more source
Adaptive sequential sampling for reliability estimation of binary functions
A novel method for estimation of rare event probability is proposed, which works also for computational models returning categorical information only: success or failure. It combines the robustness of simulation methods (counting failure events) with the
Miroslav Vořechovský
doaj +1 more source
Hierarchical Knowledge-Gradient for Sequential Sampling [PDF]
We consider the problem of selecting the best of a finite but very large set of alternatives. Each alternative may be characterized by a multi-dimensional vector and has independent normal rewards.
Frazier, Peter I. +2 more
core +3 more sources
Completeness for sequential sampling plans [PDF]
In the sequential multinomial sampling case,a sufficient condition for a non-randomized sequential procedure to be complete is given,and also a necessary and sufficient condition for a randomized sequential procedure to be complete is ...
Akahira Masafumi +3 more
core +1 more source
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source
Does attentional selectivity in global/local processing improve discretely or gradually?
Some results suggest that attentional selection in global/local processing occurs at two stages: an early stage, where global and local information of a hierarchical stimulus is filtered or weighted according to the current goal, and a late stage, where ...
Ronald eHübner
doaj +1 more source
Parallel Weighted Random Sampling [PDF]
Data structures for efficient sampling from a set of weighted items are an important building block of many applications. However, few parallel solutions are known. We close many of these gaps both for shared-memory and distributed-memory machines.
, Sanders, Peter
core +1 more source
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
wiley +1 more source
Time-Varying Boundaries for Diffusion Models of Decision Making and Response Time
Diffusion models are widely-used and successful accounts of the time course of two-choice decision making. Most diffusion models assume constant boundaries, which are the threshold levels of evidence that must be sampled from a stimulus to reach a ...
Shunan eZhang +4 more
doaj +1 more source
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source

