JPowerGraph is a Java library for creating directed graphs for SWT. It supports graph movement, Selection, context menus, tooltips and dynamic edge creation. JPowerGraph has a spring layout algorithm based on that used in TouchGraph.
Abstract:
By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit
microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these
gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In
this class you will learn about hardware platforms that support embedded Linux, Linux kernel
configuration, feature Selection, installation, booting and tuning.
2.0.12 (May 13th, 2004)
- Flag driver threads with PF_FREEZE to support software suspend.
2.0.11 (May 7th, 2004)
- Avoid split-completion bugs in certain PCI-X chipsets by
breaking up large completion entry DMAs on ADB boundaries.
2.0.10 (April 9th, 2004)
- Return "command timeout" status instead of "Selection timeout
status" to the SCSI mid-layer in response to Selection timeouts.
While the latter may seem more correct, the mid-layer will not
offline devices suffering from persistent Selection timeouts.
This leads to extremely long recovery times for devices that
go missing. Returning command timeout status causes the mid-layer
to enter recovery and eventually offline persistently missing
devices.
This gives examples of Session Description Protocol (SDP)
offer/answer exchanges. Examples include codec negotiation and
Selection, hold and resume, and addition and deletion of media
streams. The examples show multiple media types, bidirectional,
unidirectional, inactive streams, and dynamic payload types. Common
Third Party Call Control (3pcc) examples are also given.
圖像處理，利用bilt 函數(shù)
Description: This example shows how to edit (cut,paste,copy) a Selection of a bitmap using BitBlt function just like Microsoft Photo Editor does. It s really EASY! Take a look to the sample if you don t believe me and don t forget to VOTE FOR ME!
Note: comments are in italian...i hadn t enough time to translate them all. Sorry..(VOTE!)
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature Selection. This document explains the use of AdaBoost.
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, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model Selection tool for
C-SVM classification. This document explains the use of libsvm.
多目標遺傳算法程序
to run Demo files, is to run SGALAB_demo_*.m
what s new:
1) Multiple-Objective GAs
VEGA
NSGA
NPGA
MOGA
2) More TSP mutation and Crossover methods
PMX
OX
CX
EAX
Boolmatrix
3) More Selection methods
Truncation
tornament
stochastic
4) mutation methods
binary single point
int/real single point
5) encoding/decoding methods
binary
integer/real
messy
gray
DNA
permuation
to fix the plot bugs for 4001 , download this file and replace old files.
