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Markov kernel
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#	Item
1	The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1 Add to Reading List Source URL: www.waelde.com Language: English - Date: 2015-11-27 06:04:16 Stochastic processes Markov chain FokkerPlanck equation Markov process Markov kernel Probability distribution Brownian motion It diffusion Bellman equation
2	Markov chain approximations to non-symmetric diffusions with bounded coefficients Takashi Kumagai Kyoto University We consider a certain class of non-symmetric Markov chains and obtain heat kernel bounds and parabolic Ha Add to Reading List Source URL: icsaa.iam.uni-bonn.de - Date: 2012-11-26 04:39:27
3	Journal of VLSI Signal Processing manuscript No. (will be inserted by the editor) Acoustic Modelling using Continuous Rational Kernels Martin Layton1 , Mark Gales1 Department of Engineering, University of Cambridge, Trum Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2006-11-22 10:08:34 Statistical classification Natural language processing Linear algebra Markov models Kernel Finite state transducer Vector space N-gram Fisher kernel Statistics Algebra Mathematics
4	A Markov Chain Estimator of Multivariate Volatility from High Frequency Data Peter Reinhard Hansen, Guillaume Horel, Asger Lunde and Ilya Archakov CREATES Research Paper Add to Reading List Source URL: pure.au.dk Language: English - Date: 2015-04-28 07:51:00 Statistical inference M-estimators Signal processing Markov chain Estimator Maximum likelihood Realized kernel Robust statistics Peter Reinhard Hansen Statistics Estimation theory Statistical theory
5	Deliverable D2.2 Project acronym Project full title SIMBAD Add to Reading List Source URL: simbad-fp7.eu Language: English - Date: 2009-10-26 07:56:22 Fisher kernel Information retrieval Computational linguistics Pattern recognition Generative model Hidden Markov model Kernel methods Supervised learning Generative Statistics Machine learning Statistical classification
6	International Journal of Neural Systems c World Scientific Publishing Company EVOLUTIONARY OPTIMIZATION OF SEQUENCE KERNELS FOR DETECTION OF BACTERIAL GENE STARTS Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Statistical classification Operator theory Hilbert space Support vector machine CMA-ES Kernel methods Kernel Markov chain Gaussian function Statistics Machine learning Mathematics
7	Abnormal Activity Recognition based on HDP-HMM Models Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2009-07-14 20:11:24 Artificial intelligence Science Bioinformatics Hidden Markov model Statistical models Activity recognition Fisher kernel Support vector machine Generative model Statistics Machine learning Statistical classification
8	2010 International Conference on Pattern Recognition Nonlinear mappings for generative kernels on latent variable models Anna Carli∗ , Manuele Bicego∗† , Sisto Baldo∗ and Vittorio Murino∗† ∗ Dipartimento d Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Machine learning Statistical classification Linear algebra Generative model Fisher kernel Kernel Hidden Markov model Pattern recognition Nonlinear system Statistics Mathematics Algebra
9	Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models Andr´e F.T. Martins3 , Manuele Bicego1,2, Vittorio Murino1,2 , Pedro M.Q. Aguiar4 , and M´ ario A.T. Figueiredo3 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Category theory Fisher kernel Information retrieval Markov models Hidden Markov model Generative model Kernel Pattern recognition Discriminative model Statistics Machine learning Statistical classification
10	LNCS[removed]Clustering-Based Construction of Hidden Markov Models for Generative Kernels Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:00:46 Fisher kernel Information retrieval Geostatistics Computational linguistics Pattern recognition Hidden Markov model Generative model Cluster analysis Generative Statistics Machine learning Statistical classification