Results 31 to 40 of about 181,545 (263)
Learning to Select Supplier Portfolios for Service Supply Chain.
The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier ...
Rui Zhang +3 more
doaj +1 more source
Pairwise meta-rules for better meta-learning-based algorithm ranking
In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
core +1 more source
Contingency selection and ranking for composite power system reliability evaluation
In this paper, a probabilistic performance index (PI) has been developed to perform contingency selection and ranking. The results show that considering up to the second level contingency is satisfactory for both accuracy and computation time ...
Abdullah M. Al-Shaalan
doaj +1 more source
Extrapolating weak selection in evolutionary games. [PDF]
In evolutionary games, reproductive success is determined by payoffs. Weak selection means that even large differences in game outcomes translate into small fitness differences. Many results have been derived using weak selection approximations, in which
Bin Wu +3 more
doaj +1 more source
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
The uncertain representation ranking framework for concept-based video retrieval [PDF]
Concept based video retrieval often relies on imperfect and uncertain concept detectors. We propose a general ranking framework to define effective and robust ranking functions, through explicitly addressing detector uncertainty.
Djoerd Hiemstra +15 more
core +1 more source
Neuromorphic computing uses spiking neuron network models to solve machine learning problems in a more energy-efficient way when compared to conventional artificial neural networks.
Williams Yohanna Yerima +3 more
doaj +1 more source
The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli +3 more
wiley +1 more source
VARIABLE SELECTION BY SUBSAMPLING RANKING FORWARD SELECTION (SURF)
Traditional statistical methods face lots of challenges in model fitting, variable selection, and model diagnosis when analysing high-dimensional data.
LIU, LIHUI
core
Multi-strategy QoS-aware service selection and ranking model
As the increment of services with same function and different QoS in the internet,in order to select and rank the services that fulfill users’ functionality requirements and QoS requirements,a multi-strategy QoS-aware service ranking and selection ...
Lei WU, Yu-long LIU, Shi-jun LIU
doaj +2 more sources

