Results 101 to 110 of about 830,323 (220)

Multiplicative random walk Metropolis-Hastings on the real line

, 2011
In this article we propose multiplication based random walk Metropolis Hastings (MH) algorithm on the real line. We call it the random dive MH (RDMH) algorithm.
A Jasra, C Fernandez, C Kipnis, DJ Buckle, GJ Jones, GO Roberts, GO Roberts, GO Roberts, GO Roberts, GO Roberts, HC Thode Jr, JS Liu, KL Mengersen, MH Chen, N Metropolis, P Dellaportas, SC Kou, SP Meyn, W Feller, WK Hastings, YF Atchadé   +20 more
core   +1 more source

Semispectral Measures and Feller markov Kernels

, 2012
We give a characterization of commutative semispectral measures by means of Feller and Strong Feller Markov kernels. In particular: {itemize} we show that a semispectral measure $F$ is commutative if and only if there exist a self-adjoint operator $A$ and a Markov kernel $ _{(\cdot)}(\cdot): \times\mathcal{B}(\mathbb{R})\to[0,1]$, $ \subset (A ...
openaire   +2 more sources

Models for Patch-Based Image Restoration

EURASIP Journal on Image and Video Processing, 2009
We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel.
Petrovic Nemanja, Das Gupta Mithun, Rajaram Shyamsundar, Huang ThomasS   +3 more
doaj   +2 more sources

Splitting-Based Regenerations for Accelerated Simulation of Queues

Mathematics
In this paper, we address the problem of increasing the number of regenerations in the simulation of the workload process in a single-server queueing system.
Irina Peshkova, Evsey Morozov, Michele Pagano   +2 more
doaj   +1 more source

Covariance Kernels of Gaussian Markov Processes

, 2015
32 ...
openaire   +2 more sources

Physics-constrained adaptive kernel interpolation for region-to-region acoustic transfer function: a Bayesian approach

EURASIP Journal on Audio, Speech, and Music Processing
A kernel interpolation method for the acoustic transfer function (ATF) between regions constrained by the physics of sound while being adaptive to the data is proposed.
Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari   +2 more
doaj   +1 more source

Clustering-Based Construction of Hidden Markov Models for Generative Kernels [PDF]

, 2009
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the first and mostly-used representative, which lies on a widely investigated mathematical background.
Pekalska, Elzbieta, Bicego, Manuele, Cristani, Marco, Murino, Vittorio, Pȩkalska, Elzbieta, Duin, Robert P W   +5 more
openaire   +1 more source

How sharp are PV measures?

, 2007
Properties of sharp observables (normalized PV measures) in relation to smearing by a Markov kernel are studied. It is shown that for a sharp observable $P$ defined on a standard Borel space, and an arbitrary observable $M$, the following properties are ...
A. Jenčová, Ali, Ali, Benduci, Busch, Busemi, Carmeli, Cattaneo, Dvurečenskij, Hayashi, Heinonen, Heinonen, Heinonen, Holevo, Holevo, Holevo, Ludwig, Martens, Pták, S. Pulmannov'a, Strasser, Toigo, Uffink, Varadarajan   +23 more
core   +1 more source

Simple procedures for finding mean first passage times in Markov chains [PDF]

, 2005
The derivation of mean first passage times in Markov chains involves the solution of a family of linear equations. By exploring the solution of a related set of equations, using suitable generalized inverses of the Markovian kernel I – P, where P is the ...
Hunter, Jeffrey J.
core  

Online Learning in Kernelized Markov Decision Processes

, 2018
22nd International Conference on Artificial Intelligence and Statistics (AISTATS ...
Chowdhury, Sayak Ray, Gopalan, Aditya
openaire   +2 more sources