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https://www.vector.com/us/en-us/support-downloads/support/
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https://sourceforge.net/adobe/blazeds/wiki/Downloads/
Downloads. Welcome to BlazeDS! BlazeDS is the server-based Java remoting and web messaging technology that enables developers to easily connect to back-end distributed data and push data in real-time to Adobe® Flex™ and Adobe AIR™ applications for …
https://stackoverflow.com/questions/758006/blazeds-and-arraylist-of-custom-objects
For some reason I'm getting an ArrayList of ASObjects rather than my Section objects. I tried looking up how to explicitly type arrays in actionscript, but the only thing I could find was using a Vector object, which BlazeDS does not support.
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks. But, it is widely used in classification objectives. What is Support Vector Machine? The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space(N — the number of features) that distinctly classifies ...
https://www.quora.com/How-does-a-SVM-choose-its-support-vectors
Mar 22, 2016 · Lets say, we are given a training dataset of n points of the form A support vector is a vector of a datapoint xi that lies on the hyperplane(s) In order to choose the support vectors, we want to maximize the margin m and that implies we reduce the...
https://stackoverflow.com/questions/9480605/what-is-the-relation-between-the-number-of-support-vectors-and-training-data-and
What is the relation between the number of Support Vectors and training data and classifiers performance? Ask Question Asked 7 years, 8 months ago. ... In order to test a data point using an SVM model, you need to compute the dot product of each support vector with the test point. Therefore the computational complexity of the model is linear in ...
https://www.r-bloggers.com/machine-learning-using-support-vector-machines/
Apr 19, 2017 · Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The concept of SVM is very intuitive and easily understandable. If we have labeled data, SVM can be used to generate multiple separating hyperplanes such that the data space is divided into segments and each segment contains only one kind of …
https://en.wikipedia.org/wiki/Support-vector_machine
The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to the behavior of the hinge loss.
https://sourceforge.net/adobe/blazeds/wiki/Home/
BlazeDS Overview. Welcome to BlazeDS! BlazeDS is the server-based Java remoting and web messaging technology that enables developers to easily connect to back-end distributed data and push data in real-time to Adobe® Flex® and Adobe AIR™ applications for more responsive rich Internet application (RIA) experiences.
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