In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of th ...
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, N ...
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical re ...
First of all we would like to thank God Almighty for giving us the strength and confidence in
pursing the ambitions. We would like to thank our Examiner Professor Axel Jantsch for
allowing us to do this under his guidance and encouragement. At the same time we would like
to mention our sincere thank ...
This is the library for all storage drivers. It simplifies writing a storage driver by implementing 90 percent of the code required to support Plug and Play, Power Management, et cetera. This library is used by disk.sys, cdrom.sys and the tape class drivers.
SimpliciTI™ -1.0.3.exe for CC11xx and CC25xx
SimpliciTI is a simple low-power RF network protocol aimed at small (<256) RF networks. Such networks typically contain battery operated devices which require long battery life, low data rate and low duty cycle and have a limited number of nodes talk ...
SimpliciTI™ -1.0.4.exe for CC2430
SimpliciTI is a simple low-power RF network protocol aimed at small (<256) RF networks. Such networks typically contain battery operated devices which require long battery life, low data rate and low duty cycle and have a limited number of nodes talking direct ...
This discussion will attempt to outline some truths and common misconceptions about digital audio watermarking. It will survey the intrinsic obstacles that such technology is required to overcome, shedding light on its performance criteria, compromises and limitations. While doing so, it will also s ...
