Results 51 to 60 of about 8,464,096 (315)
The joint estimation of the state of charge (SoC) and the parameters of a battery model is typically done using nonlinear extensions of the Kalman filter (KF), such as the well-known and widely used extended KF (EKF), in combination with a simple but ...
H.P.G.J. Beelen, H. Bergveld, M. Donkers
semanticscholar +1 more source
A Survey of Automatic Parameter Tuning Methods for Metaheuristics
Parameter tuning, that is, to find appropriate parameter settings (or configurations) of algorithms so that their performance is optimized, is an important task in the development and application of metaheuristics.
Changwu Huang, Yuanxiang Li, X. Yao
semanticscholar +1 more source
A parameter-free learning automaton scheme
For a learning automaton, a proper configuration of the learning parameters is crucial. To ensure stable and reliable performance in stochastic environments, manual parameter tuning is necessary for existing LA schemes, but the tuning procedure is time ...
Xudie Ren, Shenghong Li, Hao Ge
doaj +1 more source
Parameter-tuning Networks: Experiments and Active Walk Model
The tuning process of a large apparatus of many components could be represented and quantified by constructing parameter-tuning networks. The experimental tuning of the ion source of the neutral beam injector of HT-7 Tokamak is presented as an example ...
Han, Xiao-Pu +3 more
core +1 more source
Towards Self-Tuning Parameter Servers [PDF]
Recent years, many applications have been driven advances by the use of Machine Learning (ML). Nowadays, it is common to see industrial-strength machine learning jobs that involve millions of model parameters, terabytes of training data, and weeks of training. Good efficiency, i.e., fast completion time of running a specific ML job, therefore, is a key
Liu, Chris +6 more
openaire +2 more sources
Naturalness of Neutralino Dark Matter
We investigate the level of fine-tuning of neutralino Dark Matter below 200 GeV in the low-energy phenomenological minimal supersymmetric Standard Model taking into account the newest results from XENON100 and the Large Hadron Collider as well as all ...
Grothaus, Philipp +2 more
core +1 more source
Robust Tuning Datasets for Statistical Machine Translation
We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter tuning algorithms.
Nakov, Preslav, Vogel, Stephan
core +1 more source
Optimizing Performance of Hadoop with Parameter Tuning
Optimizing Hadoop with the parameter tuning is an effective way to greatly improve the performance, but it usually costs too much time to identify the optimal parameters configuration because there are many parameters. Users are always blindly adjust too
Chen Xiang +4 more
doaj +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source

