Download JAR files tagged by means with all dependencies

RBFNetwork implements a normalized Gaussian radial basisbasis function network. It uses the k-means clustering algorithm to provide the basis functions and learns either a logistic regression (discrete class problems) or linear regression (numeric class problems) on top of that. Symmetric multivariate Gaussians are fit to the data from each cluster. If the class is nominal it uses the given number of clusters per class. RBFRegressor implements radial basis function networks for regression, trained in a fully supervised manner using WEKA's Optimization class by minimizing squared error with the BFGS method. It is possible to use conjugate gradient descent rather than BFGS updates, which is faster for cases with many parameters, and to use normalized basis functions instead of unnormalized ones.

Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit. For more information see: Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud. 55(3):281-292.

Reco4j is an open source project aims at developing a recommendation framework based on graph data sources. We choose graph databases for several reasons. They are NoSQL databases, so "schemaless". This means that it is possible to extend the basic data structure with intermediate information, i.e. similarity value between item and so on. Moreover, since every information is expressed with properties, nodes and relations, the recommendation process can be customized to work on every graph. Reco4j can be used on every graph where "user" and "item" is represented by node and the preferences are modelled as relationship between them. Current implementation leverage on Neo4j as first graph database integrated in our framework.

OpenCL4Java is a thin Java wrapper around OpenCL's C API. It uses JNA as its interop layer library, which means it works on all of the (many) JNA-supported platforms (see http://jna.dev.java.net/). It is autogenerated by JNAerator (http://jnaerator.googlecode.com/), so updates to newer OpenCL specs are a matter of seconds. Note that OpenCL4Java is used by JavaCL, an Object-Oriented API that presents OpenCL in a much more practical, powerful and idiomatic way to Java. For more info, please visit http://code.google.com/p/nativelibs4java/wiki/OpenCL.

What is jparsec? Jparsec is a recursive-desent parser combinator framework written for Java. It constructs parsers in native Java language only. Why yet another parser framework? Jparsec stands out for its combinator nature. It is no parser generator like YACC or ANTLR. No extra grammar file is required. Grammar is written in native Java /C# language, which also means you can utilize all the utilities in the Java/.Net community to get your parser fancy. What does "jparsec" stand for? Jparsec is an implementation of Haskell Parsec on the Java platform. Feature highlights. operator precendence grammar. accurate error location and customizable error message. rich set of pre-defined reusable combinator functions. declarative API that resembles BNF. [email protected] [email protected]

Jetty context XML configuration plugin generator helper. This plugin helps you to generate your Context XML file with a dynamic content such as: * classpath entries * web app resources * maven properties Plugin needs a template Jetty context XML file where the dynamic content is injected. Injection of dynamic content is supported as: * altering the DOM with new values * with enabled filtering dynamic values can be replaced as properties (see bellow) Filtering of the template file is supported. Basically it means you can include content from your maven properties in your context XML file. If desired plugin sets two maven properties with the dynamic content: * jetty.conf-plugin.classpath * jetty.conf-plugin.webapp These properties might be used for filtering as well. Plugin resolves project dependency artifacts. These artifacts are transformed into webapp resources and classpath entries. Works with multi-module projects. Works in Eclipse with enabled m2e.

JDOM is a Java-oriented object model which models XML documents. It provides a Java-centric means of generating and manipulating XML documents. While JDOM interoperates well with existing standards such as the Simple API for XML (SAX) and the Document Object Model (DOM), it is not an abstraction layer or enhancement to those APIs. Rather, it seeks to provide a robust, light-weight means of reading and writing XML data without the complex and memory-consumptive options that current API offerings provide. built July 23 2009