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: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is Increasing. Due to numerical errors, it might show glitches for some data sets.
C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions. The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the Increasing number of hand-held devices, wearable computers, and intelligent appliances. This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming training.
sql equipment management system for the Institute of Laboratory office automation management system an important part of it can lend to the return of the equipment scrapped and a new standardized management, thereby Increasing efficiency and avoiding waste of resources.
background database using Access, prospects of development tools using Visual Basic.
The system uses ADO data access technology, and each database table and operation of the field to the type of package, which succeeded in object-oriented programming thinking applied to the database application design.
The release of the Microsoft Visual Studio .NET (and Visual C++ .NET in particular) has underscored Microsoft’s Increasing focus on Internet technologies, which are at the heart of the Microsoft .NET architecture. In addition to supporting the .NET initiative, Visual C++ .
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In response to constant pressure to design more efficient, faster, smaller, and better systems, engineers are constantly looking for ways to improve existing designs or replace them with better ones. Facing large fuel costs, the aerospace industry in particular has been researching alternative designs to increase fuel efficiency and performance. One such alternative is the development of reconfigurable aircraft wings. These wings would be able to adapt to the current environment Increasing lift or reducing drag when appropriate.
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further Increasing
its ability to provide accurate classification of the specific content.
Quality control of production has always been a necessity
in stainless steel mills. The users of stainless
steel set ever-Increasing requirements on product
quality. Many material properties can still only be
measured in laboratory but more and more measurements
are now made on-line during the production.
Especially surface defects have to be detected on-line
with a surface inspection system because of their random
appearance.
Spread-spectrum techniques are methods by which electromagnetic energy generated in a particular bandwidth is deliberately spread in the frequency domain, resulting in a signal with a wider bandwidth. These techniques are used for a variety of reasons, including the establishment of secure communications, Increasing resistance to natural interference and jamming, and to prevent detec
Base64 encoding and decoding functions coded in c sharp for simple encryption works. Also source code for Increasing speed of asp.net apps by combining javascripts.
The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an Increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The
embedding of the vision algorithms in a compound system of other information sources such
as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results
are achieved by not just analyzing single frames but an image stream regarding game-ß ow
informations. The requirements for such a system are a highly robust and adaptive behav-
ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical
analysis of their offered gambling in order to support the business plan, measuring table
and dealer performance and give accurate player rating. Extensive experiments show the
robustness and applicability of the proposed system.
