Bayesian mixture labeling and clustering [PDF]
Label switching is one of the fundamental issues for Bayesian mixture modeling. It occurs due to the nonidentifiability of the components under symmetric priors. Without solving the label switching, the ergodic averages of component specific quantities
Yao, Weixin
core +2 more sources
Effects of crosstalk in WDM optical label switching networks due to wavelength switching of a tunable laser [PDF]
rosstalk caused by switching events in fast tunable lasers in an optical label switching (OLS) system is investigated for the first time. A wavelength-division-multiplexed OLS system based on subcarrier multiplexed labels is presented which employs a 40 ...
Barry, Liam P. +6 more
core +1 more source
SCM optical label switching scheme in a WDM packet transmitter employing a switching SG-DBR laser [PDF]
We demonstrate an SCM optical label switching scheme with spectral efficiency of 0.4bit/s/Hz and a spectral density figure of merit of 1. We then employ this scheme in a WDM transmitter subsystem and we investigate the detrimental effects that switching ...
Barry, Liam P. +6 more
core +1 more source
In-band label extractor based on Cascaded Si ring resonators enabling 160 Gb/s optical packet switching modules [PDF]
Photonic integration of optical packet switching modules is crucial to compete with existing electronic switching fabrics in large data center networks.
Calabretta, Nicola +5 more
core +3 more sources
Architecture, design, and modeling of the OPSnet asynchronous optical packet switching node [PDF]
An all-optical packet-switched network supporting multiple services represents a long-term goal for network operators and service providers alike.
Harle, D.A., Vanderbauwhede, W.A.
core +1 more source
Overfitting Bayesian Mixture Models with an Unknown Number of Components [PDF]
This paper proposes solutions to three issues pertaining to the estimation of finite mixture models with an unknown number of components: the non-identifiability induced by overfitting the number of components, the mixing limitations of standard Markov ...
Mengersen, Kerrie +3 more
core +7 more sources
Adaptive MCMC with online relabeling
When targeting a distribution that is artificially invariant under some permutations, Markov chain Monte Carlo (MCMC) algorithms face the label-switching problem, rendering marginal inference particularly cumbersome. Such a situation arises, for example,
Bardenet, Rémi +3 more
core +3 more sources
Bayesian solutions to the label switching problem [PDF]
The label switching problem, the unidentifiability of the permutation of clusters or more generally latent variables, makes interpretation of results computed with MCMC sampling difficult. We introduce a fully Bayesian treatment of the permutations which
A. Jasra +11 more
core +1 more source
Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan +2 more
wiley +1 more source
Tunable 4-channel ultra-dense WDM demultiplexer with III-V photodiodes integrated in silicon-on-insulator [PDF]
A tunable 4-channel ultra-dense WDM demultiplexer with 0.25nm channel spacing is demonstrated with III-V photodiodes integrated on Silicon-on-Insulator using rib waveguides.
De Heyn, Peter +4 more
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