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在“Elsevier”中，命中：559条，耗时：0.11694 秒

1.Forecasting foreign exchange rates using kernel methods

作者：Martin Sewell^a ; ^{mvs25@cam.ac.uk} ; John Shawe-Taylor^b ; ¹ ; ^{J.Shawe-Taylor@cs.ucl.ac.uk}

关键词：Forecasting ; Foreign exchange ; Kernel methods

刊名：Expert Systems with Applications

出版年：2012

2.Evaluation measures for kernel optimization

作者：Pawe艂 Chudzian ^{P.Chudzian@elka.pw.edu.pl}

关键词：Kernel evaluation measures ; Kernel optimization ; Kernel methods ; Radial basis function kernel ; Pattern classification

刊名：Pattern Recognition Letters

出版年：2012

3.Decentralized fault diagnosis using multiblock kernel independent component analysis

作者：Yingwei Zhang ; ^{zhangyi@che.utexas.edu} ; ^{zhangyingwei@mail.neu.edu.cn} ; Chi Ma

关键词：Multiblock kernel methods ; Process monitoring ; Kernel independent component analysis ; Fault detection and diagnosis

刊名：Chemical Engineering Research and Design

出版年：2012

4.Kernel k-nearest neighbor algorithm as a flexible SAR modeling tool

作者：Dong-Sheng Cao^a ; Jian-Hua Huang^a ; Jun Yan^a ; Liang-Xiao Zhang^c ; Qian-Nan Hu^d ; Qing-Song Xu^b ; ^{dasongxu@gmail.com} ; Yi-Zeng Liang^a ; ^{yizeng_liang@263.net}

关键词：k-nearest neighbor (k-NN) ; Kernel methods ; String kernel ; Structure&ndash ; activity relationship (SAR)

刊名：Chemometrics and Intelligent Laboratory Systems

出版年：2012

5.Kernel perturbations for a class of second-kind convolution Volterra equations with non-negative kernels

作者：F.R. de Hoog ^{Frank.deHoog@csiro.au} ; R.S. Anderssen ; ^{Bob.Anderssen@csiro.au}

关键词：Kernel perturbations ; Convolution ; Second-kind Volterra integral equation ; Resolvent kernel

刊名：Applied Mathematics Letters

出版年：2012

6.Accuracy of approximations of solutions to Fredholm equations by kernel methods

作者：Giorgio Gnecco^a ; ^{giorgio.gnecco@dist.unige.it} ; V臎ra K暖rková ; ^b ; ^{vera@cs.cas.cz} ; Marcello Sanguineti^a ; ^{marcello@dist.unige.it}

关键词：Approximate solutions to integral equations ; Radial and kernel-based networks ; Gaussian kernels ; Model complexity ; Analysis of algorithms

刊名：Applied Mathematics and Computation

出版年：2012

7.Evolutionary kernel density regression

作者：Oliver Kramer ; ^{oliver.kramer@uni-oldenburg.de} ; Fabian Gieseke

关键词：Kernel regression ; Bandwidth optimization ; Manifold learning ; Unsupervised kernel regression ; Evolution strategies

刊名：Expert Systems with Applications

出版年：2012

8.Interior-point methods for linear optimization based on a kernel function with a trigonometric barrier term

作者：M. El Ghami^a ; ^{melghami@ii.uib.no} ; Z.A. Guennoun^b ; ^{guennoun@fsr.ac.ma} ; S. Bouali^c ; ^{samir-bouali34@yahoo.fr} ; T. Steihaug^a ; ^{Trond.Steihaug@ii.uib.no}

关键词：90C51 ; 90C05

刊名：Journal of Computational and Applied Mathematics

出版年：2012

9.An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification

作者：Franç ; ois Fouss ; ^{francois.fouss@uclouvain.be} ; Kevin Francoisse ^{kevin.francoisse@uclouvain.be} ; Luh Yen ^{luh.yen@uclouvain.be} ; Alain Pirotte ^{alain.pirotte@uclouvain.be} ; Marco Saerens ^{marco.saerens@uclouvain.be}

关键词：Kernels on graphs ; Graph mining ; Collaborative recommendation ; Semisupervised classification

刊名：Neural Networks

出版年：2012

10.Comparison of a new kernel method and a sampling volume method for estimating indoor particulate matter concentration with Lagrangian modeling

作者：Tsang-Jung Chang^a ; ^b ; Kao-Hua Chang^a ; Hong-Ming Kao^a ; ^{hmkao@ntu.edu.tw} ; Yu-Sheng Chang^a

关键词：Airborne particulate matter ; Lagrangian particle modeling ; Concentration estimation ; Kernel method ; Sampling volume method ; Indoor air quality

刊名：Building and Environment

出版年：2012

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