Results 131 to 140 of about 45,420 (307)

Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]

Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
Alberto Muñoz, Javier González
core  

Discrete Heat Kernel Smoothing in Irregular Image Domains. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2018
Chung MK, Wang Y, Wu G.
europepmc   +1 more source

Targeting PLD3 Reverses the Immunosuppressive Niche by Reprogramming Tumor‐Associated Macrophages and Potentiates Antitumor Immunity

Advanced Science, EarlyView.
PLD3 activates the lysosomal‐AKT‐NF‐κB axis to drive cellular senescence in macrophages, establishing an immunosuppressive TME by limiting the infiltration of cytotoxic T, NK, and NKT cells, which confers resistance to anti‐PD‐1 therapy. Abrine inhibits PLD3 expression, restoring antitumor immunity and synergizing with anti‐PD‐1 treatment.
Xingtu Qin, Qiong Li, Xuemei Xu, Yuhan Wu, Yin Zhu, Jieqiong Wu, Yuan Fang, Qiubei Chen, Shuyang Wang, Jiang Yu, Yaping Ye, Hongli Jiao   +11 more
wiley   +1 more source

Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification. [PDF]

Sensors (Basel), 2019
Saumard M, Elbouz M, Aron M, Alfalou A, Brosseau C.   +4 more
europepmc   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

Nonparametric Estimation of Risk-Neutral Densities [PDF]

This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk ...
Wolfgang Karl Härdle, Melanie Schienle, Maria Grith   +2 more
core  

SArKS: de novo discovery of gene expression regulatory motif sites and domains by suffix array kernel smoothing. [PDF]

Bioinformatics, 2019
Wylie DC, Hofmann HA, Zemelman BV.
europepmc   +1 more source

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

Advanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg, Irina Wachter, Agnieszka Pancholi, Matthias Akyel, Yomna Gohar, Priya Kumar, Ana Miguel Fernandes, Yuzhi Bao, Alica Schmidt‐Heydt, Marcel Piepers, Alicia Günthel, Marcel Sobucki, Elisa Kämmer, Süheyla Eroğlu‐Kayıkçı, Stephan Allgeier, Sylvia Erhardt, Vasily Zaburdaev, Carmelo Ferrai, Lennart Hilbert   +18 more
wiley   +1 more source

An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]

The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
core  

FUNGSI-FUNGSI KERNEL PADA METODE REGRESI NONPARAMETRIK DAN APLIKASINYA PADA PRIEST RIVER EXPERIMENTAL FOREST'S DATA

Jurnal Teknik Industri, 2006
In this paper we discuss some models for estimating the regression function, provided the data Y is given. The programming of these function are presented as well as the "tricks" in the R- programming, a statistical freeware.
Siana Halim, Indriati Bisono
doaj