用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-SVM prepared using MATLAB source code, you can achieve the support vector machine for feature classification or extraction
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.002022s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.092338s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.002347s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.002134s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.002890s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003768s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.002366s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.005634s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.024689s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.003497s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 26421 [ RunTime:0.001444s ]
