Using Predictions in Online Optimization
نویسندگان
چکیده
منابع مشابه
Online Convex Optimization Using Predictions
Making use of predictions is a crucial, but under-explored, area of online algorithms. This paper studies a class of online optimization problems where we have external noisy predictions available. We propose a stochastic prediction error model that generalizes prior models in the learning and stochastic control communities, incorporates correlation among prediction errors, and captures the fac...
متن کاملComparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools
Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...
متن کاملComparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools
Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...
متن کاملOnline Traffic Engineering using Least Interference Optimization
Flow-based routing algorithms have recently been proposed where the online routing process uses a priori knowledge of the ingress-egress pairs and an estimation of the traffic profile to reduce LSP rejection in MPLS networks. This paper presents a new routing scheme referred to as Least Interference Optimization (LIO) where the online routing process uses the current bandwidth availability and ...
متن کاملOnline Distribution and Load Balancing Optimization Using the Robin Hood and Johnson Hybrid Algorithm
Proper planning of assembly lines is one of the production managers’ concerns at the tactical level so that it would be possible to use the machine capacity, reduce operating costs and deliver customer orders on time. The lack of an efficient method in balancing assembly line can create threatening problems for manufacturing organizations. The use of assembly line balancing methods cannot balan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGMETRICS Performance Evaluation Review
سال: 2016
ISSN: 0163-5999
DOI: 10.1145/2964791.2901464