RV model-based kernel with LSM

This repository contains the source code for classification based on the liquid state machine (LSM for short).

We build our project on the basis of codes provided by Fengzhen Tang (fxt126@cs.bham.ac.uk). This repository integrates many codes from other literatures and all the contact information is retained in the preamble. ALL necessary codes can be obtained freely from the Internet.

Run RV model-based kernel/demo.m to view the demo result.

HOWTO

• How to start?
  • download the data sets from website here (The data sets are not included in this repo.)
  • run initpath firstly.
  • run NormalRV, GMMRV, fisherRV, SamplingRV to test classification.
  • run demo.m, also show the classification results.
• How to adjust reservoir size (R_no) and regression coefficient (val) to get a best fitting?
  • You can run lsm_weight_*.m directly to see the fitting error, and write your own script to adjust the R_no and val.
  • Use the test/test.m to find best choice of R_no and val.
  • Also, the default settings in test/test.m are good tutorial for you.
• How to adjust svm parameters in svm, i.e. cost and kp?
  • Run NormalRV, GMMRV, fisherRV, SamplingRV by inputing a list of cost and kp, they will return the best classification accuracy.

Dependencies Version

This repository includes a precompiled version of csim 1.1.1 and libsvm 3.2, including mexw64, mexa64m, mexmaci64 for usage under Windows, Linux, Mac.

The csim can be found here. N.B. the original version from the website was altered to meet the updated environment.

libsvm 3.2 or higher version is required. libsvm is a library for support vector machines which can be found here. s

About

This repository is created by Junyuan Hong(jyhong836@gmail.com), and contributed by Junyuan Hong and Yang Li.