Search Results for "statistical" - Page 4

NetKit-SRL, or NetKit for short, is an open-source Network Learning Toolkit for statistical relational learning. The toolkit provides functionalities not found in any existing open source projects and integrates with the WEKA machine learning toolkit.

SocialModeler leverages natural language processing and statistical text analysis approaches to quickly analyze and explore social media data (e.g. news articles or blogs). It uses an application-based user interface for configuration and analysis.

iGREAT is an open-source, statistical machine translation software toolkit based on finite-state models.

LExAu: Learning Expectations Autonomously. Library for on-line data driven statistical machine learning.

...The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.

An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.

LoonyBin is a workflow management system specifically geared toward the needs of computational research. It is currently used in Natural Language Processing and statistical machine translation. More at http://www.cs.cmu.edu/~jhclark/loonybin/.

...It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced Debugging and Logging, Data Management and Integration, Integrated LLM for NPC Dialog, Cross-Platform Compatibility Dive into the world of game development with AlizaGameAPI. Download the latest version, explore the detailed documentation, and join the community of developers pushing the boundaries of gaming technology.

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.

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...

An Eclipse SWT Java GUI based application to demonstrate 2D statistical models in computer vision, for face representation.

The Moses repository has moved: https://github.com/moses-smt/mosesdecoder Factored phrase-based, hierarchical and syntax decoder for statistical machine translation

This project implements the techniques used in this paper: @INPROCEEDINGS{Andres10a, author = {Jesús Andrés-Ferrer and Germán Sanchis-Trilles and Francisco Casacuberta}, title = {Similarity Word-Sequence Kernels for Sentence Clustering}, booktitle = {Proceedings of the 8th International Workshop on Statistical Pattern Recognition}, year = {2010}, } This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_Kernels.

Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation.

ESMERALDA is a development environment for statistical recognizers operating on sequential data (speech, handwriting, biological sequences). It supports continuous density Hidden Markov models, Markov chain (N-gramm) models, and Gaussian mixture models.

MoMS (Model Management System) is a model management system for statistical models, a little bit like a database management system. Instead of having tables, we have models that can be updated and queried.

Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"

A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.

Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.

Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.

Phramer - An Open-Source Statistical Phrase-Based Machine Translation Decoder ||| Project web page: http://www.phramer.org

CHAC is a MATLAB toolbox for statistical downscaling.

Collection of Statistical Language Processing Tools and Modules for Information Retrieval, Document Classification, Vectorization, Pattern Matching, Knowledge/Text Mining related problems.

PSMT is a statistical machine translation program written in prolog.

Mood is a framework to build decoder for statistical machine translation. It is modular and object-oriented to ease customization.