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JMySVMLearner - bias calculation
ilaria_gori
Member Posts: 15 
Maven
in Help
Please could you help me to understand how the bias (offset) is calculated in the case of classification of 2D vectors with JMySVMLearner?
The vector w is clearly calculated as linear combination of the training vectors (coefficients equal to the Lagrange multipliers times the target), but bias =?
thanks!!
ilaria
The vector w is clearly calculated as linear combination of the training vectors (coefficients equal to the Lagrange multipliers times the target), but bias =?
thanks!!
ilaria
0
Answers
I suggest, you should take a look in the literature about the JMySVM. Probably it is mentioned somewhere. You could start searching here:
T. Joachims, Making large-scale support vector machine learning
practical, Advances in Kernel Methods: Support Vector Machines,
MIT Press, Cambridge, MA, 1998.
Greetings,
Sebastian
ilaria