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https://stackoverflow.com/questions/15625359/support-vector-machine-for-java
I think the multivariate version of a linear dichotomizer is something called a support vector machine. If I'm wrong, then please clarify and I'll change the title of my question to something more appropriate. Regardless, I need this app to do the following things:
https://www.javatpoint.com/machine-learning-support-vector-machine-algorithm
Support Vector Machine Algorithm. Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, it is used for Classification problems in Machine Learning.
https://www.csie.ntu.edu.tw/~cjlin/libsvm/
A practical guide to support vector classification An introductory video for windows users. Other implementation documents: R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using the second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1780131/
SVM Classifier – a comprehensive java interface for support vector machine classification of microarray data. ... The Support Vector Machine (SVM) was one of the methods successfully applied to the cancer diagnosis problem in the previous studies [3,4]. In principle, the SVM can be applied to very high dimensional data without altering its ...Cited by: 28
https://cs.stanford.edu/people/karpathy/svmjs/demo/
Note, these demos are somewhat depractated in favor of much better and recent ones over at convnetjs.com.Also, ConvNetJS supports (linear) SVMs as a special case, where the Neural Network has no hidden layers and the loss function is the hinge loss.
https://www.programcreek.com/2013/01/a-simple-machine-learning-example-in-java/
This is a "Hello World" example of machine learning in Java. It simply give you a taste of machine learning in Java. Environment Java 1.6+ and
https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_classification_algorithms_support_vector_machine.htm
Support vector machines (SVMs) are powerful yet flexible supervised machine learning algorithms which are used both for classification and regression. But generally, they are used in classification problems. In 1960s, SVMs were first introduced but later they got refined in …
https://www.dezyre.com/data-science-in-r-programming-tutorial/support-vector-machine-tutorial
Support Vector Machine: Support Vector Machine or SVM is a further extension to SVC to accommodate non-linear boundaries. Though there is a clear distinction between various definitions but people prefer to call all of them as SVM to avoid any complications.
http://support-vector-machines.org/SVM_soft.html
SVM - Support Vector Machines Software Review: Applications of Support Vector Machines in Chemistry, ... JmySVM, a Java version of mySVM is part of the YaLE (Yet Another Learning Environment) ... PSVM (Proximal Support Vector Machine) is a MATLAB script by Fung and Mangasarian which classifies patterns by assigning them to the closest of two ...
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