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Kernel embedding of distributions
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1	Mixture Proportion Estimation via Kernel Embedding of Distributions Harish G. Ramaswamy† IBM Research, Bangalore, India Indian Institute of Science, Bangalore, India Clayton Scott Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2016-05-20 09:13:40 Algebra Mathematics Mathematical analysis Spectral theory Representation theory of Lie algebras Representation theory of Lie groups Weight Distribution Spectral theory of ordinary differential equations Jordan normal form
2	Rutcor Research Report Large margin case-based reasoning Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2013-02-22 15:21:14 Mathematical analysis Expected value Equation solving Machine learning Artificial intelligence Probability theory Robot control Kalman filter Kernel embedding of distributions
3	Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Nonparametric statistics Kernel density estimation Density estimation Normal distribution Convolution Standard deviation Positive-definite kernel Multivariate kernel density estimation Kernel embedding of distributions
4	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
5	Microsoft Word - bookchapter_localization_tran.doc Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2008-03-10 04:21:54 Learning Artificial intelligence Statistical classification Machine learning Computing Wireless sensor network Support vector machine Kernel method Sensor node Kernel embedding of distributions Least squares support vector machine
6	Hilbert Space Embeddings of Conditional Distributions with Applications to Dynamical Systems Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2011-09-09 02:03:32 Hilbert space Functions and mappings Model theory Generalized functions Embedding Kalman filter Function Conditioning Positive-definite kernel Mathematics Mathematical analysis Operator theory
7	Kernel Embeddings of Conditional Distributions Le Song† , Kenji Fukumizu‡ and Arthur Gretton∗ † Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2013-07-16 10:05:15 Probability theory Abstract algebra Category theory Functional analysis Linear algebra Kernel Embedding Characteristic function Vector space Mathematics Algebra Mathematical analysis

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