Download JAR files tagged by main with all dependencies

This generates a schema artifact which contains all of the schemas from xmpp.org's subversion repository. Generating this artifact enables a schema to be referenced by jaxb using the ClassPathCatalogResolver and a catalog file. To refresh the content of this artifact, either remove the src/main/resources directory manually or run a clean build from hudson. This is because maven-scm-plugin is set to checkout only if that directory does not exist so that the remote subversion repository is not hit every time a build is performed.

IzPack is an installers generator for the Java platform. It produces lightweight installers that can be run on any operating system where a Java virtual machine is available. Depending on the operating system, it can be launched by a double-click or a simple 'java -jar installer.jar' on a shell. The most common use is to distribute applications for the Java platform, but you can also use it for other kinds of projects. The main benefit of IzPack is that it provides a clean and unique way of distributing a project to users using different operating systems.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

Allows opening the currently edited file in an external editor. <p> Its main purpose is to open the currently edited file at the exact same cursor position as in Netbeans to execute some complex editing action that is not easily possible within Netbeans itself. <p> The command to open the file in an external editor must be supplied by the user and allows placeholders to specify the location of the cursor to be able to jump to the same location of the cursor in Netbeans' editor. <p> A fallback command can be specified for opening file for which no editor window is open. This command doesn't support all the placeholders, but allows editing a file directly from the Projects nodes.

Maximum Likelihood Rule Ensembles (MLRules) is a new rule induction algorithm for solving classification problems via probability estimation. The ensemble is built using boosting, by greedily minimizing the negative loglikelihood which results in estimating the class conditional probability distribution. The main advantage of decision rules is their simplicity and comprehensibility: they are logical statements of the form "if condition then decision", which is probably the easiest form of model to interpret. On the other hand, by exploiting a powerful statistical technique to induce the rules, the final ensemble has very high prediction accuracy. Fork of the original code located at: http://www.cs.put.poznan.pl/wkotlowski/software-mlrules.html