Results 41 to 50 of about 493,705 (320)

Impact of the Regularization of Regression Models on the Results of the Mass Valuation of Real Estate

open access: yesFolia Oeconomica Stetinensia, 2020
Research background: Mass appraisal is a process in which multiple properties are appraised simultaneously, with a uniform approach. One of the tools that can be used in this area are multiple regression models.
Gnat Sebastian
doaj   +1 more source

Regularization Dependence of Running Couplings in Softly Broken Supersymmetry

open access: yes, 2008
We discuss the dependence of running couplings on the choice of regularization method in a general softly-broken N=1 supersymmetric theory. Regularization by dimensional reduction respects supersymmetry, but standard dimensional regularization does not ...
't Hooft   +28 more
core   +1 more source

Mathematical Methods in Feature Selection: A Review

open access: yesMathematics
Feature selection is essential in machine learning and data science. Recently, there has been a growing effort to apply various mathematical methods to construct novel feature selection algorithms.
Firuz Kamalov   +5 more
doaj   +1 more source

Hyperspectral Anomaly Detection Method Based on Low Rank Total Variation Regu-larization

open access: yesJisuanji kexue yu tansuo, 2020
Hyperspectral remote sensing technology provides abundant spectral information for exploring objects and supplies a better data source for anomaly detection.
XU Chao, ZHAN Tianming
doaj   +1 more source

Predictive overfitting in immunological applications: Pitfalls and solutions

open access: yesHuman Vaccines & Immunotherapeutics, 2023
Overfitting describes the phenomenon where a highly predictive model on the training data generalizes poorly to future observations. It is a common concern when applying machine learning techniques to contemporary medical applications, such as predicting
Jeremy P. Gygi   +2 more
doaj   +1 more source

Adding Prior Information in FWI through Relative Entropy

open access: yesEntropy, 2021
Full waveform inversion is an advantageous technique for obtaining high-resolution subsurface information. In the petroleum industry, mainly in reservoir characterisation, it is common to use information from wells as previous information to decrease the
Danilo Santos Cruz   +3 more
doaj   +1 more source

On uniform regularity and strong regularity [PDF]

open access: yesOptimization, 2018
We investigate uniform versions of (metric) regularity and strong (metric) regularity on compact subsets of Banach spaces, in particular, along continuous paths. These two properties turn out to play a key role in analyzing path-following schemes for tracking a solution trajectory of a parametric generalized equation or, more generally, of a ...
R. Cibulka, J. Preininger, T. Roubal
openaire   +2 more sources

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Interferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase ...
Yahui Qiu   +4 more
doaj   +1 more source

An Iterative Algorithm for Predicting Seafloor Topography from Gravity Anomalies

open access: yesRemote Sensing, 2023
As high-resolution global coverage cannot easily be achieved by direct bathymetry, the use of gravity data is an alternative method to predict seafloor topography.
Jinhai Yu   +5 more
doaj   +1 more source

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