SPIDER The Spider Objects

LOOM object


   A=LOOM(H) returns a loom object initialized with hyperparameters H. 
  
   Hyperparameters, and their defaults
    R=1                  -- the soft margin parameter K=K-R*diag(diag(K))
    A=0.001;             -- additional regularization on alphas, A*||alpha||_1
    ridge=1e-12;         -- a ridge on the kernel
    balanced_ridge=0     -- for unbalanced data
    child=kernel         -- the kernel is stored as a member called "child"
   
   Model
    alpha                -- the weights
    b0                   -- the threshold
    Xsv                  -- the Support Vectors
  
   Methods:
    train, test

Reference : Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers
Author : Theodoros Evgeniou ,Massimiliano Pontil , André Elisseeff
Link : http://portal.acm.org/citation.cfm?id=974025.974029&dl=GUIDE&dl=GUIDE