This article talks about Support Vector Machine (SVM), which is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data, the algorithm outputs an optimal hyperplane which categorizes new examples. Support Vector Machines are based on the concept of decision planes that define decision boundaries. A decision plane is one that separates between a set of objects having different class memberships. It constructs a hyperplane or set of hyperplanes in a high- or infinite-dimensional space, which can be used for classification, regression, or other tasks.
More Post
Latest Post
-
Thulium Iodate – an inorganic compound
-
Cadmium Selenate
-
Two Cancer Treatments can be Administered Simultaneously by Implantable Microparticles
-
Robotic Automation and Artificial Intelligence will accelerate scientific development in Science Labs
-
Cadmium Oxide – an inorganic compound
-
Cobalt(II) Selenide – an inorganic compound