2012/9/24 Joseph Turian <[email protected]>: > Chris Lin iirc has advocated partitioning the examples then concatenation the > individual classifiers. > > You could do that and then do a second pass of learning: find the 1% of > examples that are the hardest for the ensemble and learn over them. > > Regardless, it will be adhoc unless you use an out of core algorithm.
Interesting, do you have a link to the paper? Gilles' paper I was mentioning previously is here: http://www.cs.bris.ac.uk/~flach/ECMLPKDD2012papers/1125540.pdf -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
