Results 101 to 110 of about 5,593,327 (347)
Inverse Optimization: Theory and Applications [PDF]
arXiv, 2021 Inverse optimization describes a process that is the "reverse" of traditional mathematical optimization. Unlike traditional optimization, which seeks to compute optimal decisions given an objective and constraints, inverse optimization takes decisions as input and determines an objective and/or constraints that render these decisions approximately or ...
arxiv
Optimization of Location Model of Capacitated Network [PDF]
, 2011 This study concerns with the research work on Location Model of Public Service Obligation State-Owned Company (PSO-SOC). Its aim is to develop an approach of making location decision on distribution facilities of such company, in which capacities of ...
Nahry, N. (Nahry) +1 more
core
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Molecular Oncology, EarlyView.Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren +16 more
wiley +1 more source
IEEE Access, 2020 The current context is increasingly driving researchers and industry to focus not only on the economic but also on the energetic performance of manufacturing systems.
Yasmine Alaouchiche +2 more
doaj +1 more source
Adaptive Optimizer for Automated Hyperparameter Optimization Problem [PDF]
arXiv, 2022 The choices of hyperparameters have critical effects on the performance of machine learning models. In this paper, we present a general framework that is able to construct an adaptive optimizer, which automatically adjust the appropriate algorithm and parameters in the process of optimization.
arxiv
Strong Equivalence of Qualitative Optimization Problems [PDF]
, 2012 We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences
Faber, Wolfgang +2 more
core
Randomized Smoothing for Stochastic Optimization
, 2012 We analyze convergence rates of stochastic optimization procedures for non-smooth convex optimization problems. By combining randomized smoothing techniques with accelerated gradient methods, we obtain convergence rates of stochastic optimization ...
Bartlett, Peter L. +2 more
core +3 more sources
Molecular Oncology, EarlyView.Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink +6 more
wiley +1 more source
Equivalence of three different kinds of optimal control problems for heat equations and its applications [PDF]
arXiv, 2011 This paper presents an equivalence theorem for three different kinds of optimal control problems, which are optimal target control problems, optimal norm control problems and optimal time control problems. Controlled systems in this study are internally controlled heat equations.
arxiv
A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer
Molecular Oncology, EarlyView.Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini +11 more
wiley +1 more source