Results 81 to 90 of about 270,694 (310)
Weighted order statistic classifiers with large rank-order margin. [PDF]
, 2003 We describe how Stack Filters and Weighted Order Statistic function classes can be used for classification problems. This leads to a new design criteria for linear classifiers when inputs are binary-valued and weights are positive .
Theiler, J. P. (James P.) +3 more
core
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Order Statistics and Statistics of Structure $(d)$
The Annals of Mathematical Statistics, 1965 This note discusses the asymptotic independence of the "$(d)$-structured" order statistics $F(X^{(i)})$ and some of the more usual statistics of structure $(d)$. (For a discussion of structure $(d)$ and related concepts, see references [2], [3] and [4].) Asymptotic independence holds, in particular, in the case of the Kolmogoroff-Smirnoff statistic ...
openaire +2 more sources
Affine Order-Statistic Filters: "Medianization" of Linear FIR Filters [PDF]
, 2007 This paper introduces a novel, data--adaptive filtering framework: affine order--statistic filters. Affine order--statistic filters operate effectively on a wide range of signal statistics, are sensitive to the dispersion of the observed data, and are ...
Gonzalo R. Arce +3 more
core
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Hybrid Order Statistic Filter and its Application to Image Restoration [PDF]
, 2001 We introduce a new nonlinear filter for signal and image restoration, the hybrid order statistic (HOS) filter. Because it exploits both rank- and spatial-order information, the HOS realizes the advantages of nonlinear filters in edge preservation and ...
Hardie, Russell C. +4 more
core +1 more source
FEBS Letters, EarlyView.The mycobacterial CIII‐CIV respiratory supercomplex is an obligate assembly, encompassing several subunits of unknown functions. We have characterized the intracellular subunit AscF, and show that it is unlikely to be a sensor for metals or nucleotides, but is required for growth on nonfermentable energy sources, and likely works as an adapter for ...
Eni Rile +8 more
wiley +1 more source
Approximate Bayesian Computation Via the Energy Statistic
IEEE Access, 2020 Approximate Bayesian computation (ABC) has become an essential part of the Bayesian toolbox for addressing problems in which the likelihood is prohibitively expensive or entirely unknown, making it intractable. ABC defines a pseudo-posterior by comparing
Hien Duy Nguyen +3 more
doaj +1 more source
Extended Linear Order Statistic (ELOS) Aggregation and Regression [PDF]
, 2020 The ordered weighted average (OWA) operator is a well-known aggregation tool that is primarily used for decisionlevel fusion. However, the OWA is a convex sum, i.e., its learned coefficients are constrained to sum to one, and thus the output is ...
Kakula, Siva K. +7 more
core +1 more source
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source