Implementing a linear, binary SVM (support vector machine)

Implementing a linear, binary SVM (support vector machine)



1.Support vector machine - Wikipedia, the free encyclopedia

Description:In machine learning, support vector machines (SVMs, also
support vector networks) are supervised learning models with associated
learning algorithms that analyze data ...



2.SVM - Support Vector Machines

Description:SVM, support vector machines, SVMC, support vector machines
classification, SVMR, support vector machines regression, kernel, machine
learning, pattern recognition ...



3.SVM-Struct Support Vector Machine for Complex Outputs

Description:Overview. SVM struct is a Support Vector Machine (SVM)
algorithm for predicting multivariate or structured outputs. It performs
supervised learning by approximating a ...



4.1.2. Support Vector Machines — scikit-learn 0.14 ...

Description:1.2. Support Vector Machines¶ Support vector machines (SVMs)
are a set of supervised learning methods used for classification,
regression and outliers detection.



5.LIBSVM -- A Library for Support Vector Machines

Description:An integrated tool implementing support vector classification,
regression, and distribution estimation. C++ and Java sources available.
[Free]



6.Handwritten Digit Classification using Support Vector ...

Description:Download the PDF for Handwritten Digit Classification using
Support Vector Machines (15 pages)



7.dlib C++ Library - Machine Learning

Description:Machine Learning. A major design goal of this portion of the
library is to provide a highly modular and simple architecture for dealing
with kernel algorithms.



8.Reference — scikit-learn 0.14 documentation

Description:datasets.fetch_20newsgroups ([data_home, ...]) Load the
filenames and data from the 20 newsgroups dataset.
datasets.fetch_20newsgroups_vectorized([...])



9.LIBSVM Tools - NTU

Description:LIBSVM Tools Last modified: This page provides some
miscellaneous tools based on LIBSVM (and LIBLINEAR). Roughly they include
Things not general enough to be included ...



10.projects:sgd [leon.bottou.org]

Description:The CRF programs "crfsgd" and "crfasgd" respectively use the
SGD and ASGD algorithms to train a Conditional Random Field. The
algorithms are setup exactly as ...