What about the Passive-Aggressive algorithms..?? I tried searching but I found results like Passive Aggressive human(male-female) behaviour. Any guidance..?
On Tue, Nov 23, 2010 at 9:48 PM, Ted Dunning <[email protected]> wrote: > One of the key points of the algorithm is that it is easier to learn to > order things than it is to learn a proper metric. > > THis is related to the same sort of concept in supervised classifier > learning as opposed to learning a recommender. Much previous work started > with the observation that learning a correct score would natural provide > correct ranking and did not examine whether learning to rank directly might > provide a more feasible learning algorithm. > > The "lots of heavy math" problem that you encountered is not going to go > away. There is no way to make sense of machine learning with out the math. > Intuitionist approaches do not take you very far down the road because > without being able to do the math, you can't tell what is going wrong. > > On Tue, Nov 23, 2010 at 7:50 AM, gagan chhabra <[email protected] > >wrote: > > > A couple of months ago i posted a link for the research paper I am > working > > on, which is > > based on pairwise similarity learning which being an problem in machine > > learning. > > > > I still dont get the exact meaning what this paper has. > > > > What I have understood so far is that the paper address to design of a > > algorithm which helps in > > scaling the pairwise similarity learning of images by using Passive > > Aggressive algorithms. > > > > But the main problem Passive Aggressive algorithms. I Googled it but I > got > > some results which were again > > some papers having some heavy mathematics. > > > > so please can anyone tell me about them both in brief, what actually i'll > > have to do to implement the algorithm > > in paper below- > > > > link for the paper: > > > > > http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//pubs/archive/35311.pdf > > also what are passive aggressive algorithms!! > > > > > > -- > > gagan > > > -- gagan
