As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
A GUI application which estimates toxic hazard of chemical compounds. The latest version includes the following toxicity prediction modules:
-Cramer rules (oral toxicity)
-Toxicity mode of action via Verhaar scheme
-Skin irritation and Eye irritation prediction
-Benigni / Bossa rulebase for mutagenicity and carcinogenicity prediction
-START biodegradation and persistence prediction
-Skin sensitisation reactivity domain
-Kroes TTC Decisiontree
-SMARTCyp - Cytochrome P450-Mediated Drug...
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decisiontree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values.
This project is now hosted at: https://github.com/febo...
Adaboost extensions for cost-sentive classification
Adaboost extensions for cost-sentive classification
CSExtension 1
CSExtension 2
CSExtension 3
CSExtension 4
CSExtension 5
AdaCost
Boost
CostBoost
Uboost
CostUBoost
AdaBoostM1
Implementation of all the listed algorithms of the cluster "cost-sensitive classification".
They are the meta algorithms which requires base algorithms e.g. DecisionTree
Moreover,
Voting criteria is also required e.g. Minimum expected cost criteria
Input also requires to load an arff file...
JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decisiontree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
Managing your therapy and rehab practice is a time-consuming process. You spend hours on paperwork, billing, scheduling, and more. Raintree’s Therapy & Rehab EHR is here to help you manage your practice more efficiently. With our all-in-one solution, you’ll get the tools you need to streamline your therapy and rehab practice, improve patient care, and get back to doing what you love.
Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decisiontree controlled by analytical statistics.