Results 81 to 90 of about 10,145,001 (387)

The role of noise and initial conditions in the asymptotic solution of a bounded confidence, continuous-opinion model [PDF]

, 2012
We study a model for continuous-opinion dynamics under bounded confidence. In particular, we analyze the importance of the initial distribution of opinions in determining the asymptotic configuration.
Adrián Carro, C. Castellano, E. Ben-Naim, G. Deffuant, G. Weisbuch, J. Lorenz, J. Lorenz, J. Lorenz, M. Mäs, M. Pineda, M. Pineda, M. Porfiri, M.F. Laguna, Maxi San Miguel, R. Hegselmann, Raúl Toral, U. Krause   +16 more
core   +2 more sources

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Confidence Regions for Steady-State Probabilities and Additive Functionals Based on a Single Sample Path of an Ergodic Markov Chain

Mathematics
Discrete, finite-state Markov chains are applied in many different fields. When a system is modeled as a discrete, finite-state Markov chain, the asymptotic properties of the system, such as the steady-state distribution, are often estimated based on a ...
Yann Vestring, Javad Tavakoli
doaj   +1 more source

Confidence-Aware Calibration and Scoring Functions for Curriculum Learning [PDF]

arXiv, 2023
Despite the great success of state-of-the-art deep neural networks, several studies have reported models to be over-confident in predictions, indicating miscalibration. Label Smoothing has been proposed as a solution to the over-confidence problem and works by softening hard targets during training, typically by distributing part of the probability ...
arxiv  

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer

Molecular Oncology, EarlyView.
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu, Fenglin Shen, Yang Liu, Ziqing Zhong, Yongling Chen, Zhiyuan Xia, Cuiju Mo, Hongxiu Yu   +7 more
wiley   +1 more source

Empirical-likelihood-based confidence interval for the mean with a heavy-tailed distribution

, 2004
Empirical-likelihood-based confidence intervals for a mean were introduced by Owen [Biometrika 75 (1988) 237-249], where at least a finite second moment is required.
Peng, Liang
core   +1 more source

Inhibition of acyl‐CoA synthetase long‐chain isozymes decreases multiple myeloma cell proliferation and causes mitochondrial dysfunction

Molecular Oncology, EarlyView.
Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy, Heather Fairfield, Victoria E. DeMambro, Samaa Fadel, Carlos A. Gartner, Michelle Karam, Christian Potts, Princess Rodriguez, Ya‐Wei Qiang, Habib Hamidi, Xiangnan Guan, Calvin P. H. Vary, Michaela R. Reagan   +12 more
wiley   +1 more source

Exact confidence intervals for the mixing distribution from binomial mixture distribution samples [PDF]

arXiv, 2023
We present methodology for constructing pointwise confidence intervals for the cumulative distribution function and the quantiles of mixing distributions on the unit interval from binomial mixture distribution samples. No assumptions are made on the shape of the mixing distribution.
arxiv  

Confidence and Uncertainty Assessment for Distributional Random Forests

Journal of Machine Learning Research, 24, 2023
ISSN:1532 ...
Näf, Jeffrey, Emmenegger, Corinne, Bühlmann, Peter, Meinshausen, Nicolai   +3 more
openaire   +2 more sources

X-ray total mass estimate for the nearby relaxed cluster A3571 [PDF]

, 2000
We constrain the total mass distribution in the cluster A3571, combining spatially resolved ASCA temperature data with ROSAT imaging data with the assumption that the cluster is in hydrostatic equilibrium.
Cavaliere A., Ettori S., Fabian A. C., J. Nevalainen, Kemp S. N., M. Markevitch, Neumann D. M., Nevalainen J., Quintana H., Raychaudhury S., W. Forman, White D.   +11 more
core   +2 more sources