New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
Recognizing its importance is only the fist step to advocate invetion or innovation， and some effective measures should be taken for it. For one thing， our authority should continue to enlarge the recruit of graduate. For another， the conditions of scientists and skilled workers should be furth ...
The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components ...
Objectives
The purpose of this notebook is to give you a brief introduction to the
DiscreteWavelets Toolbox and show you how to use it to load
images. Some basic image manipulation is illustrated as well. You will
also learn how to use measures and tools such as cumulative energy,
entr ...
This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and reception works. It also measures the BER, affected by an AWGN channel.
Computational models are commonly used in engineering design and scientific discovery activities for simulating
complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear
structural mechanics, shock physics, and many others. These simulators can be ...
n the first part of this book, we give an introduction to the basic applications of wireless com-
munications, as well as the technical problems inherent in this communication paradigm. After a
brief history of wireless, Chapter 1 describes the different types of wireless services, and works
out the ...
Why did an electricity market emerge? How does it really work? What are the perfor-
mance measures that we can use to tell that the electricity market under consideration
is well functioning? These are the questions that will be explored in this book. The
main purpose of this book is to introduce th ...
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza-
tion techniques that use real - time measurements to minimize network losses, maintain
voltage levels, increase reliability, and improve asset management. The operational data
collected by the smart grid and ...
Current field forecast verification measures are inadequate, primarily because they compress the comparison
between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to
analysis and contemporaneous forecast fields prove to be an insightful approach to ve ...
