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Positive-definite kernel
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21	Online Learning of Structured Predictors with Multiple Kernels Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ ‡ † Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2011-05-11 04:48:52 Data mining Multiple kernel learning Statistical classification Machine learning Support vector machine Kernel method Feature selection Positive-definite kernel Kernel Structured prediction
22	sadhana manuscript No. (will be inserted by the editor) A compact kernel for the calculus of inductive constructions A. Asperti · W. Ricciotti · Add to Reading List Source URL: matita.cs.unibo.it Language: English - Date: 2009-02-26 11:27:55 Type theory Matita Calculus of constructions Lambda calculus Recursion Positive-definite kernel Anonymous function Metavariable HindleyMilner type system Type inference Parameter Dependent type
23	Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint Bharath K. Sriperumbudur Gatsby Unit University College London Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Operator theory Hilbert space Banach spaces Function spaces Fourier analysis Reproducing kernel Hilbert space Positive-definite kernel Reflexive space Distribution HahnBanach theorem Embedding Sobolev space
24	Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen Computer Science Division University of California, Berkeley Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2004-05-13 12:59:32 Hilbert space Statistical classification Operator theory Positive-definite kernel Machine learning Support vector machine Reproducing kernel Hilbert space Learning Statistics Analysis Multiple kernel learning Kernel embedding of distributions
25	spectralNullDistrib_final_long.dvi Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-11-08 23:50:48 Statistics Nonparametric statistics Statistical tests Statistical inference Means Multivariate statistics Principal component analysis Resampling Z-test Bootstrapping Positive-definite kernel KolmogorovSmirnov test
26	Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Bharath K. Sriperumbudur Department of ECE UC San Diego, La Jolla, USA Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-11-08 23:50:48 Hilbert space Fourier analysis Operator theory Probability theory Probability distributions Reproducing kernel Hilbert space Positive-definite kernel Fourier transform Normal distribution Dirac delta function Characteristic function Kernel
27	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2005-10-29 19:46:54 Machine learning Learning Artificial intelligence Statistics Support vector machine Kernel method Statistical classification Positive-definite kernel Empirical risk minimization Loss function Statistical learning theory Bayes estimator
28	A Kernel-Based Learning Approach to Ad Hoc Sensor Network Localization XUANLONG NGUYEN, MICHAEL I. JORDAN, and BRUNO SINOPOLI University of California, Berkeley We show that the coarse-grained and fine-grained localizat Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2005-11-14 01:57:46 Statistical classification Geostatistics Kernel method Support vector machine Positive-definite kernel Polynomial kernel Kernel Sensor Kernel perceptron 3D sound localization
29	Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-11-08 23:50:48 Statistics Analysis Data Statistical models Multivariate statistics Signal processing Data analysis Independent component analysis Time series analysis Additive white Gaussian noise Gaussian function Positive-definite kernel
30	Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen XUANLONG @ CS . BERKELEY. EDU Martin J. Wainwright WAINWRIG @ EECS . BERKELEY. EDU Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2004-04-21 22:02:40 Operator theory Mathematics Statistical classification Algebra Distribution Number theory Positive-definite kernel Support vector machine Mathematical analysis operator Kalman filter

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