Results 81 to 90 of about 248,031 (304)
A Kernel Wrapper for Phoneme Sequence Recognition [PDF]
We describe a kernel wrapper, a Mercer kernel for the task of phoneme sequence recognition which is based on operations with the Gaussian kernel, and suitable for any sequence kernel classifier. We start by presenting a kernel-based algorithm for phoneme
Keshet, Joseph, Chazan, Dan
core +1 more source
An orthogonal forward regression technique for sparse kernel density estimation [PDF]
, 2008 Using the classical Parzen window (PW) estimate as the desired response, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density (SKD) estimates ...
Harris, C. J. +7 more
core +1 more source
Operating System’s Kernel Hooking Methods (Study Case of Linux Kernel)
Безопасность информационных технологий, 2014 The article presents an overview of dynamic integration in the kernel Linux, allowed to modify (add, change) its functionality. Traditional methods of integration based on changing in the kernel code (patching), and methods based on using system ...
Ilya Vladimirovich Matveychikov
doaj
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee +9 more
wiley +1 more source
Implementation of Kernel Methods on the GPU [PDF]
, 2005 Kernel methods such as kernel principal component analysis\ud and support vector machines have become powerful\ud tools for pattern recognition and computer vision.
Brown, Ross A. +5 more
core +1 more source
Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC [PDF]
We provide Markov chain Monte Carlo (MCMC) algorithms for computing the bandwidth matrix for multivariate kernel density estimation. Our approach is based on treating the elements of the bandwidth matrix as parameters to be estimated, which we do by ...
Rob J. Hyndman +2 more
core +3 more sources
Locally-Scaled Kernels and Confidence Voting
Machine Learning and Knowledge ExtractionClassification, the task of discerning the class of an unlabeled data point using information from a set of labeled data points, is a well-studied area of machine learning with a variety of approaches.
Elizabeth Hofer, Martin v. Mohrenschildt
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
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 +3 more
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