Migrate from GitHub to SourceForge with this tool. Check out all of SourceForge’s recent improvements.

Results for: bayes


  • More...

Category Category

License License

Translations Translations

  • More...

Programming Language Programming Language

  • More...

Status Status

  • More...

Audience Audience

    • More...

User Interface User Interface

Database Environment Database Environment

Freshness Freshness

67 programs for "bayes"

  • Monitor your Cisco ASA like an expert Icon
    Monitor your Cisco ASA like an expert Icon

    See how Network Insight™ for Cisco® ASA, a feature of SolarWinds Network Performance Monitor and Network Configuration Manager, can help.

    Get visibility into the health and performance of your entire Cisco ASA environment in a single dashboard. View VPN tunnel status and monitor firewall high availability, health, and readiness. Automatically discover and filter within ACLs, show rule hit counts, and detect shadow and redundant rules. Automate the monitoring and management of your ASA infrastructure in a fully integrated solution. Try it free for 30 days!
  • Find out what (or who) is slowing down your network Icon
    Find out what (or who) is slowing down your network Icon

    Get comprehensive network bandwidth analysis and performance monitoring with SolarWinds® Bandwidth Analyzer Pack.

    Network slow, but you don't know the cause? Use Bandwidth Analyzer Pack (BAP) to monitor and analyze network bandwidth performance and traffic patterns. With BAP, you can identify which users, applications, and protocols are consuming the most bandwidth. You can also monitor Wireless LAN Controller traffic to see what applications and clients are using your wireless network. Try it free for 30 days!
  • Downloads: 0 This Week Last Update: See Project
  • Bayes++

    Bayes++ is a library of C++ classes that implement numerical algorithms for Bayesian Filtering. They provide tested and consistent numerical methods and the class hierarchy represents the wide variety of Bayesian filtering algorithms and system model

  • 20newsgroupClassify in NaiveBayes Matlab

    Problem Description: 20 newsgroup Classification problem Bayesian learning for classifying net news text articles: Naive Bayes classifiers are among the most successful known algorithms for learning to classify text documents. We will provide a data set containing 20,000 newsgroup messages drawn from the 20 newsgroups. The dataset contains 1000 documents from each of the 20 newsgroups. 1. For classes descriptions, please refer Table 6.3 of Dr. Mitchell's book (Machine Learning, Tom Mitchell...

    Downloads: 0 This Week Last Update: See Project
  • UnBBayes Icon


    Framework & GUI for Bayes Nets and other probabilistic models.

    UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit the license section of our wiki (https://sourceforge.net/p/unbbayes/wiki/License/) for more information about our licensing policy.

  • Accord.NET Framework Icon

    Accord.NET Framework

    Scientific computing, machine learning and computer vision for .NET

    The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.

  • SolarWinds is #1 in Network Monitoring. Icon
    SolarWinds is #1 in Network Monitoring. Icon

    Reduce network outages and improve performance with advanced network monitoring software

    SolarWinds® Network Performance Monitor (NPM) is the ONLY monitoring solution with NetPath™ for hop-by-hop visibility into your critical paths, on-premises and into the cloud. NPM also features PerfStack™, helping you accelerate identification of root cause by dragging-and-dropping network performance metrics on a common timeline for immediate visual correlation across all of your network data. See why we're the leader. Try it free for 30 days!
  • MailCleaner Icon


    Anti Spam SMTP Gateway

    [antispam] MailCleaner is an anti-spam / anti-virus filter SMTP gateway with user and admin web interfaces, quarantine, multi-domains, multi-templates, multi-languages. Using Bayes, RBLs, Spamassassin, MailScanner, ClamAV. Based on Debian. Enterprise ready. MailCleaner is an anti spam gateway installed between your mail infrastructure and the Internet. It includes a complete GNU/Linux OS and a graphical web interface for user and administrative access. It comes in the form of virtual machine...

  • DSTK - Data Science TooKit 3 Icon

    DSTK - Data Science TooKit 3

    Data and Text Mining Software for Everyone

    DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ The new version is smaller in file size, and have been rewritten from sketch. DSTK 3 will offer attractive features like...

    Downloads: 17 This Week Last Update: See Project
  • DSTK - DataScience ToolKit  Icon

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify...

    Downloads: 16 This Week Last Update: See Project
  • MLPACK C++ machine learning library

    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. For more information, see http://mlpack.org

    Downloads: 0 This Week Last Update: See Project
  • vbSPT

    variational Bayes single particle tracking

    vbSPT is an acronym for variational Bayes single particle tracking, a software package for hidden Markov Model analysis of single particle tracking data, primarily for biophysical applications. Journal reference: Extracting intracellular diffusive states and transition rates from single-molecule tracking data. Fredrik Persson, Martin Lindén, Cecilia Unoson & Johan Elf. Nature Methods (2013). doi:10.1038/nmeth.2367 http://www.nature.com/nmeth/journal/vaop/ncurrent/abs/nmeth.2367.html

    Downloads: 1 This Week Last Update: See Project
  • ManageEngine Now Lets You Patch Computers From Cloud Icon
    ManageEngine Now Lets You Patch Computers From Cloud Icon

    ManageEngine Patch Manager Plus offers patching capabilities on cloud - Patch all OS updates and 550 third party apps on-demand and stay secure!

    Last year saw the hackers unleash their expertise in skills for a ransom - targeting those unpatched computers in data-critical institutions. Only if the computers were patched on time, billions of dollars could have been saved. ManageEngine’s Patch Manager Plus comes to your rescue, offering you an automated patching solution, now on cloud, for latest hotfixes of Windows updates and a wide range of third-party applications (over 550 of them).
    Automate patching with Patch Manager Plus, sit back & relax!
    Try FREE Trial
  • classify-20-NG-with-4-ML-Algo

    Problem involves classifying 20000 messages into different 20 classes

    This classification problem involves classifying 20000 messages into 20 different classes. The dataset can be found here: https://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups. Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format...

    Downloads: 2 This Week Last Update: See Project
  • Downloads: 0 This Week Last Update: See Project
  • POPFile - Automatic Email Classification Icon

    POPFile - Automatic Email Classification

    POPFile is an email classification tool with a Naive Bayes classifier, POP3, SMTP, NNTP proxies and IMAP filter and a web interface. It runs on most platforms and with most email clients.

  • libtext_bayes Icon


    Naive Bayes algorithm text classifier C++ library...

    This is a Naive Bayes text classifier library to C++, you can classify SPAM messages, genes, sentiment types in texts. Naive Bayes has been studied extensively since the 1950s. It was introduced under a different name into the text retrieval community in the early 1960s, and remains a popular (baseline) method for text categorization, the problem of judging documents as belonging to one category or the other (such as spam or legitimate, sports or politics, etc.) with word frequencies...

    Downloads: 0 This Week Last Update: See Project
  • Mass Estimation

    This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...

  • BAGEL: analysis of gene knockout screens

    BAGEL: Bayesian Analysis of Gene EssentiaLity

    ..., for CRISPR-Cas9 screens, or short hairpin RNA) and makes a probabilistic statement about whether those observations were more likely drawn from the essential or nonessential training set. A log2 Bayes Factor for each gene is reported. See the Project Wiki for documentation and supporting files.

    Downloads: 2 This Week Last Update: See Project
  • Document Classification

    Document/Text Classification using Naive Bayes model.

    Downloads: 2 This Week Last Update: See Project
  • Bayes' decision, Fishers criterion

    Bayes' decision for minimum risk and Fisher's criterion for two-class

    There are two programs here. The first demonstrates the Bayes' decision rule for minimum risk. The second demonstrates Fisher's criterion for two-class discrimination.

    Downloads: 0 This Week Last Update: See Project
  • vbTPM

    Variational Bayes for tethered particle motion

    vbTPM is an analysis package aimed at analyzing time series from a single molecule technique called tethered particle motion, which are common for in vitro investigations of protein-nucleic acid interactions. vbTPM uses a variational approach to hidden Markov models, and resembles recent methods for single molecule FRET (http://vbfret.sourcefore.net/) and single particle tracking (http://vbspt.sourceforge.net/) data. 2014-08-12: NAR manuscript in print!...

    Downloads: 0 This Week Last Update: See Project
  • Naive Bayes Classifier

    This is an interactive and demonstrative implementation of a Naive Bayes probabilistic classifier that can be applied to virtually any machine learning/classification/prediction application.

    Downloads: 7 This Week Last Update: See Project
  • Grindstone4Spam

    Tools for optimising SpamAssassin

    Grindstone for Spam1.0 is an open source, lightweight tool set designed to aid on develop SpamAssasintm based filters and improve the general performance of them. It includes features such as optimization of scores asigned to rules, offline evaluation of filter, reduction of unuseful terms stored at bayes database and offline regex evaluation. The toolkit has been developed using Perl, C and bash scripting.

    Downloads: 0 This Week Last Update: See Project
  • ScientificPdfParser

    Parses scientific articles from PDF and marks the meta data.

    Parses PDF files of scientific articles based on naive bayes and sophisticated heuristics. The output is a XML file that contains the parsed data. Meta data is detected and marked as such. The meta data contains the following elements: - Title - Authors - Abstract - Text - Headlines - Enumerations - References (Literature) In the first step, the text elements are divided into blocks (similar to paragraphs) and after that, predictions for each element are made...

    Downloads: 0 This Week Last Update: See Project
  • Weighted Naive Bayes

    Attribute Weighting for Naive Bayes

    Despite the simplicity and naive assumption of the Naive Bayes classifier, it has continued to perform well against more sophisticated newcomers and has remained, therefore, of great interest to the machine learning community. Of numerous approaches to refining the naive Bayes classifier, attribute weighting has received less attention than it warrants. Most approaches,perhaps influenced by attribute weighting in other machine learning algorithms, use weighting to place more emphasis on highly...

    Downloads: 0 This Week Last Update: See Project
  • Averaged N-Dependence Estimators - AnDE

    AnDE implements A1DE and A2DE

    Averaged N-Dependence Estimators (A1DE and A2DE) achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see, G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence...

    Downloads: 101 This Week Last Update: See Project
  • 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...

    Downloads: 0 This Week Last Update: See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • Next

Get latest updates about Open Source Projects, Conferences and News.

No, Thank you