aDABOOST
This package contains the following files:
learner.jar - is a platform independent java package. In order to run it on windows/linux
open the command prompt/shell and type the command "java -jar learner.jar".
Make sure the java installation path is set in the system enviroment.
learner ...
this procedure is a game of basketball or subsystems time, the competition will record the entire time, and can amend the Competition time suspended contest time, the two can be set at any time during the competition process of the match, the two teams exchanged scores midfielder position, Competiti ...
Application Note Abstract
This Application Note introduces a complete and detailed PSoC® project. Telephone Call Logger keeps the detailed record of
approximately 945 phone calls (7-digit number is assumed to be one phone call) including date, start time and the duration of
the phone call in the ...
This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
20,000Hz) and the receiving antenna is a microphone (fr ...
On-Line MCMC Bayesian Model Selection
This demo demonstrates 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 deta ...
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 ...
