Results 131 to 140 of about 925,484 (287)

kernlab - An S4 Package for Kernel Methods in R [PDF]

kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels),
Kurt Hornik, Alexandros Smola, Achim Zeileis, Alexandros Karatzoglou   +3 more
core  

A Morphological Associative Memory Employing A Stored Pattern Independent Kernel Image and Its Hardware Model [PDF]

, 2009
An associative memory provides a convenient way for pattern retrieval and restoration, which has an important role for handling data distorted with noise.
Harada, Hidetaka, Saeki, Takashi, Miki, Tsutomu   +2 more
core  

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Anti-collinear resummation in JIMWLK evolution in the linear regime

Journal of High Energy Physics
The recently-proposed resummation procedure for anti-collinear logarithms in the JIMWLK kernel [1] is studied in the linear (BFKL) regime in the fixed-coupling approximation.
Alex Kovner, Michael Lublinsky, Maxim Nefedov, Vladimir Skokov   +3 more
doaj   +1 more source

A Bayesian approach to parameter estimation for kernel density estimation via transformations [PDF]

In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations.
David Pitt, Xueyuan Wu, Qing Liu, Xibin Zhang   +3 more
core  

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Three-photon and three-gluon annihilation decays of vector Quarkonia in a unified instantaneous Bethe–Salpeter framework

European Physical Journal C: Particles and Fields
We investigate the electromagnetic and hadronic annihilation decay widths of S-wave vector quarkonia, namely charmonium ( $$J/\psi (nS)$$ J / ψ ( n S ) ) and bottomonium ( $$\Upsilon (nS)$$ Υ ( n S ) ) with radial excitations $$n=1$$ n = 1 –4, within the
Hluf Negash, Gebretsadik Seyoum, Goitom Tekle, Mekonnen Gebremikael   +3 more
doaj   +1 more source

Daftar ISI JURNAL GAMMA, ISSN: 2086-3071 Volume 8, Nomor 1, September 2012

, 2014
JURNAL GAMMA, ISSN: 2086-3071 Volume 8, Nomor 1, September 2012 Catalityc Converter Jenis Katalis Pipa Tembaga Berlubang Untuk Mengurangi Emisi Kendaraan Bermotor Ali Mokhtar., Hal.125-131 Korelasi Antara Penambahan Aspal Minyak Pada Campuran Perkerasan ...
Isi, Daftar
core  

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

Assessing Gamma kernels and BSS/LSS processes

, 2016
This paper reviews the roles of gamma type kernels in the theory and modelling for Brownian and Lévy semistationary processes. Applications to financial econometrics and the physics of turbulence arepointed out.
openaire   +1 more source