Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach

Algorithm 1

Our proposed DBMK-ELM.

Input:

  The set of training samples, ;

  The set of testing samples, ;

Output:

  the output vector of DBMK-ELM, ;

(1) Pre-generate several different positive semi-definite base kernels for training samples ;

(2) Reconstruct new sample space for using (9) and get new samples ;

(3) Learn base kernel combination coefficients by (13) or (14);

(4) Construct the new optimal kernel by (15) and (16);

(5) Calculate the output using (17) for each sample in testing set ;

(6)  return   ;