************************************* Divide-and-Conquer kernel SVM solver ************************************* This package implements the divide-and-conquer kernel SVM solver. The package contains three folders: 1. dcsvm: the main part of DC-SVM. Please see the README file in dcsvm/ for detail usage and examples. 2. libsvm-3.14-nobias: we modified libsvm-3.14 to solve the SVM problem without the bias term. Our DC-SVM solver is built on top of libsvm-3.14-nobias. Please see the README file in libsvm-3.14-nobias/ for the details of our modifications. 3. data: for running the examples of DC-SVM, we recommend to put the training/testing data in this folder. 4. windows: the windows version for DC-SVM. Currently we only support the early prediction version of DC-SVM. This program is written by Cho-Jui Hsieh, Si Si, and Inderjit S. Dhillon. Please send comments and bug reports to: cjhsieh@cs.utexas.edu. ===DC-SVM Copyright=== Copyright (c) 2013 Cho-Jui Hsieh, Si Si, and Inderjit S. Dhillon All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither name of copyright holders nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.