Results 91 to 100 of about 8,464,096 (315)
Brane inflation and the fine-tuning problem
, 2004 Brane inflation can provide a promissing framework for solving the fine-tuning problem in standard inflationary models. The aim of this paper is to illustrate the mechanism by which this can be achieved.
A. Lukas +27 more
core +2 more sources
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Discrete PID Controller with a Single Tuning Parameter
Measurement + Control, 1974 The paper describes a simple procedure for tuning discrete proportional — integral — derivative control algorithms. Two recommendations which are currently employed to select controller parameters are combined.
P. D. Roberts, K. E. Dallard
doaj +1 more source
A Novel Evolutionary Algorithm for Designing Robust Analog Filters
Algorithms, 2018 Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system robustness.
Shaobo Li, Wang Zou, Jianjun Hu
doaj +1 more source
Shrinkage estimators of large covariance matrices with Toeplitz targets in array signal processing
Scientific Reports, 2022 The problem of estimating a large covariance matrix arises in various statistical applications. This paper develops new covariance matrix estimators based on shrinkage regularization.
Bin Zhang, Shoucheng Yuan
doaj +1 more source
Reweighted nuclear norm regularization: A SPARSEVA approach
, 2015 The aim of this paper is to develop a method to estimate high order FIR and ARX models using least squares with re-weighted nuclear norm regularization. Typically, the choice of the tuning parameter in the reweighting scheme is computationally expensive,
Blomberg, Niclas +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
, 2015 Lasso is a seminal contribution to high-dimensional statistics, but it hinges on a tuning parameter that is difficult to calibrate in practice. A partial remedy for this problem is Square-Root Lasso, because it inherently calibrates to the noise variance.
Lederer, Johannes, Müller, Christian
core +1 more source
A Survey on Automatic Parameter Tuning for Big Data Processing Systems
ACM Computing Surveys, 2020 Big data processing systems (e.g., Hadoop, Spark, Storm) contain a vast number of configuration parameters controlling parallelism, I/O behavior, memory settings, and compression.
H. Herodotou, Yuxing Chen, Jiaheng Lu
semanticscholar +1 more source
Parameter Tuning from Pairwise Preferences [PDF]
Procedings of the British Machine Vision Conference 2010, 2010 That most computer vision algorithms rely on parameters is a fact of life which cannot be avoided. For optimal algorithm performance, these parameters need to be tuned; generally speaking, this tuning is done manually or in some heuristic fashion. In this paper, we propose a new, general method for attacking the problem of parameter tuning, which is ...
Pavel Kisilev, Daniel Freedman
openaire +1 more source