Results 91 to 100 of about 1,581,096 (371)
Regularized Regression Problem in hyper-RKHS for Learning Kernels
, 2020 This paper generalizes the two-stage kernel learning framework, illustrates its utility for kernel learning and out-of-sample extensions, and proves {asymptotic} convergence results for the introduced kernel learning model.
Huang, Xiaolin +4 more
core
Locally linear approximation for Kernel methods : the Railway Kernel [PDF]
, 2008 In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel.
González, Javier, Muñoz, Alberto
core +1 more source
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Annual Meeting of the Association for Computational Linguistics, 2017 How fake news goes viral via social media? How does its propagation pattern differ from real stories? In this paper, we attempt to address the problem of identifying rumors, i.e., fake information, out of microblog posts based on their propagation ...
Jing Ma, Wei Gao, Kam-Fai Wong
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt +3 more
wiley +1 more source
Impact of tracheostomy tube modalities on ventilatory mechanics: a bench study
Intensive Care Medicine ExperimentalPurpose Tracheostomized patients often present with muscle weakness, altered consciousness, or swallowing difficulties. Hence, the literature is scarce regarding the challenging management of tracheostomy weaning.
Yann Combret +7 more
doaj +1 more source
Mature pomegranate recognition methods in natural environments using machine vision
Ciência Rural: The use of machine vision to recognize mature pomegranates in natural environments is of major significance in improving the applicability and work efficiency of picking robots.
Xiangxiao Lei, Honglin Ouyang, Lijuan Xu
doaj +1 more source
Jurnal Matematika UNAND, 2023 Himpunan fuzzy dapat didefinisikan dalam bentuk struktur aljabar seperti grup fuzzy, grup anti fuzzy dan grup fuzzy intusionistik. Pada artikel ini akan dibahas mengenai kernel dari grup fuzzy, grup anti fuzzy dan grup fuzzy intusionistik serta beberapa ...
Dinni Rahma Oktaviani +1 more
doaj +1 more source
Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures.
Biostatistics, 2015 Because humans are invariably exposed to complex chemical mixtures, estimating the health effects of multi-pollutant exposures is of critical concern in environmental epidemiology, and to regulatory agencies such as the U.S.
J. Bobb +7 more
semanticscholar +1 more source
, 2016 Kernel mean embeddings have recently attracted the attention of the machine learning community. They map measures $ $ from some set $M$ to functions in a reproducing kernel Hilbert space (RKHS) with kernel $k$. The RKHS distance of two mapped measures is a semi-metric $d_k$ over $M$. We study three questions.
Simon-Gabriel, Carl-Johann +1 more
openaire +2 more sources
Subsampling Realised Kernels [PDF]
SSRN Electronic Journal, 2007 In a recent paper we have introduced the class of realised kernel estimators of the increments of quadratic variation in the presence of noise. We showed this estimator is consistent and derived its limit distribution under various assumptions on the kernel weights.
Asger Lunde +5 more
openaire +7 more sources