On Mon, Feb 24, 2014 at 11:47:07PM +0300, Issam wrote: > I am working on extending Extreme Learning Machine in my thesis, I > think that would be a good It differs from Backpropagation in that, > instead of running newton's gradient descent for finding the weights > minimizing the objective function, it uses least-squares for the > minimum. This means that it is much faster. While we don't hear about > ELMs much, it is in fact highly cited.
> Extreme learning machine: theory and applications has 1285 citations > and it got published in 2006; a large number of citations for a fairly > recent article. I believe scikit-learn could add such an interesting > learning algorithm along with its variations (weighted ELMs, sequential > ELMS, etc.) It does sound like a possible candidate for inclusion. > Chances are the Multi-layer perceptron PR would be completed before the > summer, so it won't be included in the GSoC proposal. > In order not to get into a scope creep, I compiled the following list of > algorithms to be proposed for the GSoC 2014, > 1) Extreme Learning Machines > (http://sentic.net/extreme-learning-machines.pdf) > 1a) Weighted Extreme Learning Machines > 1b) Sequential Extreme Learning machines > 2) Completing Sparse Auto-encoders > 3) Extending MLP to support multiple hidden layers > 3a) Deep Belief Network Sound reasonnable. I think that you should open a wiki page or an issue, or some document where we can keep track of this info and work on building a full proposal. Cheers, Gaël ------------------------------------------------------------------------------ Flow-based real-time traffic analytics software. Cisco certified tool. Monitor traffic, SLAs, QoS, Medianet, WAAS etc. with NetFlow Analyzer Customize your own dashboards, set traffic alerts and generate reports. Network behavioral analysis & security monitoring. All-in-one tool. http://pubads.g.doubleclick.net/gampad/clk?id=126839071&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
