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eval_msd

PURPOSE ^

EVAL_MSD: Evaluate mean-square-difference between a model and

SYNOPSIS ^

function score = eval_msd(params, model, example)

DESCRIPTION ^

 EVAL_MSD: Evaluate mean-square-difference between a model and
           an example.

 Code written by Katherine Smith, 2003

    GENERAL

      score = eval_msd(params, model, example)

    INPUT/S

      -params:
           Parameters for model construction.

      -model:
           The model to be compared with the example

      -example:
           The example to be compared with the model.
           
    OUTPUT/S

      -score:
           Mean-squared difference score.

    PENDING WORK

      -

    KNOWN BUG/S

      -None.

    COMMENT/S

      -This is just a mediating function. Is it really necessary or
       is it just deceiving?

    RELATED FUNCTION/S

      MSD

    ABOUT

      -Created:     November 23rd, 2003
      -Last update: Novermber 26th, 2003
      -Revision:    0.0.2
      -Author:      R. S. Schestowitz, University of Manchester
 ==============================================================

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function score = eval_msd(params, model, example)
0002 % EVAL_MSD: Evaluate mean-square-difference between a model and
0003 %           an example.
0004 %
0005 % Code written by Katherine Smith, 2003
0006 %
0007 %    GENERAL
0008 %
0009 %      score = eval_msd(params, model, example)
0010 %
0011 %    INPUT/S
0012 %
0013 %      -params:
0014 %           Parameters for model construction.
0015 %
0016 %      -model:
0017 %           The model to be compared with the example
0018 %
0019 %      -example:
0020 %           The example to be compared with the model.
0021 %
0022 %    OUTPUT/S
0023 %
0024 %      -score:
0025 %           Mean-squared difference score.
0026 %
0027 %    PENDING WORK
0028 %
0029 %      -
0030 %
0031 %    KNOWN BUG/S
0032 %
0033 %      -None.
0034 %
0035 %    COMMENT/S
0036 %
0037 %      -This is just a mediating function. Is it really necessary or
0038 %       is it just deceiving?
0039 %
0040 %    RELATED FUNCTION/S
0041 %
0042 %      MSD
0043 %
0044 %    ABOUT
0045 %
0046 %      -Created:     November 23rd, 2003
0047 %      -Last update: Novermber 26th, 2003
0048 %      -Revision:    0.0.2
0049 %      -Author:      R. S. Schestowitz, University of Manchester
0050 % ==============================================================
0051 
0052 score = msd(construct_model_example(params, model, 1:50),example);

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