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Showing 2 open source projects for "boost"
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Inventors: Validate Your Idea, Protect It and Gain Market AdvantagessenseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.
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MeCFES
Myoelectrically Controlled Functional Electrical Stimulation
...When a muscle contracts it is causing a weak electrical signal that can be measured on the skin over the muscle- even if the muscle is almost completely paralysed (paretic). At the same time the muscle can be electrically stimulated to contract. Combining these two principles the muscle can directly boost itself to obtain a greater amount of contraction. The project wiki is at: https://github.com/ThorsenRune/MeCFES -
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Cost-sensitive Classifiers
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. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. ...
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