Search Results for "data base chess"

Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

...The following classes are provided : POSIXcti, POSIXctp, TimeIntervalDataFrame, TimeInstantDataFrame, SubtimeDataFrame ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).

Progressive Function Point Analysis Book Released: Print Copy: http://www.amazon.com/Progressive-Function-Point-Analysis-Estimation/dp/1502354160 EBook: http://www.amazon.com/dp/B00NH0MMAG Please support this project and its future releases ! Managers provide the architect/teams with project requirements. The architect/team returns detailed task list with estimated man hours per task making life easier for Project Managers with less guesstimates and proper business/technical process...

The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded.

...All database applications that are based on the framework (called Books) provide the same basic technical features, but each application can be extended individually. Especially the Synchronisation and the User Rights Management are strong features that allow creating backups and sharing your data to collaborate with other users. The Synchronisation is the base for future cross-application similarity searches involving all available Books.

The r4st ("Our Forest") project is a set of tools to assist with the rapid development of a database application. It uses shell scripts to drop/add Postgresql database tables/views with data loaded from sql and csv files. This process allows users to apply changes then re-build the system. It is essentially a customizable database regression system. The base schema and data module represent a plant database intended for educational and scientific usage.

JNOMO is a Jean Plugin for providing more expresiveness in its rule language. This plugin allows for retracting or priorizing rules, removing facts as a rule consecuence or even asking for the "unspecified" information into Knowledge Base.

Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.

Clothes - sewing CAD for creation of models of clothes. Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.

KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.

Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

This framework provides basic components for acquiring, broadcasting, analyzing and storing the continuous geophysical data. Written on Objective-C and using GNUstep Foundation (Base) framework or Apple Foundation framework.