Search Results for "java machine learning library" - Page 25
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Showing 816 open source projects for "java machine learning library"
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JUMLStateMachine
Java library implementing a state machine by the UML standard.
JUMLStateMachine is a Java library implementing a state machine by the UML standard. The purpose for the library is to be easily usable for small state machines, yet extendable and scalable for larger and more complex ones. -
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Control Isolator
A Control Flow Java library based on Apache Commons SCXML state machin
The purpose of this library is making it possible to define a state machine that defines the life cycle phases of an application or process allowing to isolate working phases separating flow into "Works", each of them capable of executing one or more activities. The state machine is defined visually with the help of a WYSIWYG designer and stored in a common xml format: During execution it is possible to track the state of the application visually by connecting to a socket. Under... -
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VIM cloud
Web Based IaaS Cloud Controller (VimCloud)
This is a pure IaaS cloud controller with all the basic functionality of IaaS Cloud Controller. This uses proposed “Trust Based Scheduling Algorithm and Load Balancing Algorithm”. It uses Cloud Architecture with Trust Management layer. It uses Qemu machine emulator and virtualizer as virtualization software at Host. It uses Libvirt driver [30] to interact with Qemu and to interact with its virtualization capabilities of a range of operating systems. Libvirt provides a common, generic and... -
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Intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting.
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
CoffeeMudForAI is part of the Mud AI platform project. A MUD(multi user dungeon) is text base environment. Think World of Warcraft(or any other massively multiplayer online game) but text based. AI or artificial intelligence is the field that is interested in the creation of non-organic intelligence. Mud AI platform goals 1. To provide a platform for AI research that has robotic-like sensory limitations but doesn't actually require robotics. 2. To provide a platform for undergraduate... -
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The Information Extraction Plugin allows the use of information extraction techniques within RapidMiner. It can be seen as an interface between natural language and IE- or datamining-methods, by extracting interesting information out of documents.
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Curvefit
CurveFit is a software development kit (SDK) to optimize curves
...In many industries like ads, clothing, leather, the designed drawing by special software is in curves, the curves would be converted to line and arcs if user want to cut out them by machine. CurveFit is the library achieves this function that simplifies the lines and arc and keep the drawing in acceptable accurate level. This library accepts solver parameters and data , then generate optimized result. It can decrease up to 90% lines and arcs quantity significantly. This SDK (curve fitting library) supports most platform from 32-bit/64-bit Windows to Linux/Unix system, it supports .NET and JAVA environment also. ... -
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G-Asks is a question generation system, developed by LATTE(Learning and Affect Technologies Engineering) research group at The University of Sydney. It uses Natural Language Processing techniques and Machine learning algorithms to generate specific trigger questions. If you use this software in a publication, please cite the paper 2. 1.Ming Liu and Rafael A. Calvo (2012) “Using Information Extraction to Generate Trigger Question for Academic Writing Support”, 11th International Conference...
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JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.
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Large Scale Optimization Templates
C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains: -- Limited Memory Quasi Newton (L-BFSG) -- BFSG -- Conjugate Gradient -- Gradient Descent -- Wolf condition Line Search -- Backtracking Line Search -- Exact Golden Search -- Golden Search with Wolf condition We also distribute a set of tests with the library. -
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JActor
High Performance, Lock Free Java Actors
JActor is a high-performance actor framework designed to make vertical scalability easy. JActor achieves its speed, in part, by almost always executing synchronously--though it is easy enough to force asynchronous processing when needed. JActor is divided into several GitHub projects: JActor - https://github.com/laforge49/JActor JID - https://github.com/laforge49/JID JFile - https://github.com/laforge49/JFile JANetty - https://github.com/kumarshantanu/JANetty -
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ABC-DynF
Adaptive Bayesian Classifier with Dynamic Features
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we... -
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TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem... -
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MACSY
Modular Architecture for Cognitive Systems
Macsy is a framework for developing modular agents. Data is organised in blackboards. Computations are performed by modules that annotate the data in the blackboards. Modules communicate indirectly through the annotations that they leave in the blackboards. The framework enables the development of decentralised software agents for a plethora of applications. -
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JaCHMM
Java Conditioned Hidden Markov Model library
The JaCHMM - the Java Conditioned Hidden Markov Model library - is a complete implementation of a CHMM in Java ready to use either on command line or as a module. The JaCHMM is licenced under the BSD licence. It gives an implementation of the Viterbi, Forward-Backward, Baum-Welch and K-Means algorithms, all adapted for the CHMM. JaCHMM is based on the JaHMM and also designed to achieve reasonable performance without making the code unreadable. Consequently, it offers a good way of... -
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Java examples for information retrievals covering themes like indexing, search, ranking, information extraction, regular expressions or crawling based on libraries such as Lucene. It provide support for learning information retrieval.
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Java Fast Method Call Graph Generator
Analysis tool that generates method call graphs
The project's aim is to develop a fast Method Call Graph generator for the Java Programming Language. The search proceedure combines a Finite State Machine and ad hoc parsing to allow for fast access to method definitions and method calls within the source code. -
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Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
Near the surface (even horizon) of a black hole, there is maximum information density in units of squared plancks (and some translation to qubits). Similarly, our imagination is the set of all possible things we can draw onto our most dense layer of visual cortex in electricity patterns. Bigger layers have more neurons to handle those possibilities. A Black Hole Cortex is a kind of visual cortex that has density of neuron layers similar to density at various radius from a black hole. What we... -
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cognity
A neural network library for Java.
Cognity is an object-oriented neural network library for Java. It's goal is to provide easy-to-use, high level architecture for neural network computations along with reasonable performance. -
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EpochX is an open source genetic programming framework, specifically for analysing the properties of evolutionary automatic programming. It supports 3 popular representations - Strongly-Typed GP, Context-Free Grammar GP and Grammatical Evolution.
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Swarm Wars
Safety in numbers.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved... -
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects.
