SNoW - Sparse Network of WinnowsVersion 3.2.0For questions or bug reports about the SNoW software, contact Nick Rizzolo(rizzolo@cs.uiuc.edu)University of Illinois at Urbana-ChampaignDepartment of Computer ScienceDr. Dan Roth - Cognitive Computation Groupdanr@cs.uiuc.eduThe makefile included with this distribution most probably requires GNU make.In general, just type 'gmake' to compile the system, and 'gmake clean' toremove all object files and binaries.  If you want to include SNoW's serverfunctionality in your build, use 'gmake SERVER=1'.  But do take a look at theMakefile - you may find useful options or platform specific compilationinstructions.  (Just commenting or uncommenting a line or two.)  The SNoW User's Guide is no longer included in the software distribution.  Youcan download it separately from the webpage.  As of 8/1/04, the User's Guideis completely current with respect to version  3.1.4.  The revision historycan also be a useful source of information about SNoW's new features.Packing list:0README                         : This filerevisions.txt                   : SNoW's revision historybooleanexample/booleantest.snow       : See SNoW in action, learning a simplebooleanexample/one_target.arch        :  boolean concept with these files.  Runbooleanexample/one_target_train.snow  :  "run.bat" if your platform is WIN32, orbooleanexample/run.bat                :  "run.sh" on UNIX.booleanexample/run.sh*                :booleanexample/two_targets.arch       :booleanexample/two_targets_train.snow :booleanexample/conjunction_generator.pl* : Scripts for enumerating all thebooleanexample/disjunction_generator.pl* :  examples in simple boolean concepts.tutorial/example_client.pl*     : An example client for SNoW's server modetutorial/archfile               : More useful example files.tutorial/testdata.feat          :tutorial/traindata.feat         :tutorial/tutorial.bat           :tutorial/tutorial.sh*           :tutorial/Getopt/Declare.pm      :Makefile                        : Used to compile the softwareCloud.hExample.hGlobalParams.hLearningAlgorithm.hMinimalFeature.hNaiveBayes.hNetwork.hPerceptron.hSendReceive.hSnow.hSnowParam.hSnowTypes.hTarget.hTargetIdSet.hTargetRank.hUsage.hWinnow.hCloud.cppExample.cppMain.cppNaiveBayes.cppNetwork.cppPerceptron.cppSnow.cppSnowParam.cppTarget.cppTargetIdSet.cppTargetRank.cppWinnow.cppgetopt.c