<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'><id>tag:blogger.com,1999:blog-9089443006312604961.post8189484488074339260..comments</id><updated>2009-08-26T15:02:12.549+02:00</updated><category term='treeology'/><category term='clustering'/><category term='malware analysis'/><category term='active learning'/><category term='intrusion detection'/><category term='computer security'/><category term='machine learning'/><category term='offensive security'/><category term='stringology'/><category term='generic research'/><category term='anomaly detection'/><title type='text'>Comments on Machine Learning for Computer Security.: Active Learning for Network Intrusion Detection.</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://blog.mlsec.org/feeds/8189484488074339260/comments/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/9089443006312604961/8189484488074339260/comments/default'/><link rel='alternate' type='text/html' href='http://blog.mlsec.org/2009/08/active-learning-for-network-intrusion.html'/><author><name>Konrad Rieck</name><uri>http://www.blogger.com/profile/16388208631148313198</uri><email>noreply@blogger.com</email><gd:image xmlns:gd='http://schemas.google.com/g/2005' rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>0</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage></feed>
