Search Results for "java machine learning library" - Page 11

Cigol (logic, spelled backwards) is a deductive logic solver. It can be embedded inside a parent program or used from the command line. It has absolutely no relationship to Tom Mitchell's book on Machine Learning.

XDebug is an file and system debugger, similar the ms-debug of ms-dos. It have all commands from ms-debug and more, as "mbr" wich show Master Boot Record, and more. Require JVM (Java Virutal Machine)

SharedObjects is a middleware for development of distributed applications in a simple, painless way. It doesn't perform remote method calls, but replicates the object in the client machine. Supports distributed transactions and dynamic class loading

nsjava is a loadable c-module which embeds a java virtual machine in aolserver. This module is being developed to support the openacs project - see http://openacs.org, but it could find general application as a web development tool.

Daemon4J is a helpful ghost for those who - dont like Java startup speed, esp. when the actual program needs only a second - dont know the classpath to use - want to hide Java behind an innocent command line tool - are not ready for the Big Serve

xdProf is a tool that captures and analyzes stack traces sent at a fixed interval from Java Virtual Machines in a distributed system. The xdProf client uses a C/C++ Java Virtual Machine Profiling Interface (JVMPI) library and works on many platforms.

The Madcap (Machine and Device Capabilities) library allows programmers to break out of Java's "lowest common denominator" approach and take advantage of certain platform specific capabilities without making the program platform dependant.

Sprout is a Java library of classes meant to be useful to anyone learning to program in Java. It contains a variety of utility classes, and a variety of useful classes for testing and debugging Java programs.

Compiler and virtual machine of a new programming language similar to pascal with learning proposals for computer science engineering students.

DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables.