similar to: Doubt regarding Feature selection for 'Learning to Rank' algorithms

Hello, I would like to work with Orange as part of GSoC 2012(and continue henceforth). Apologies for joining in a bit late- i was waiting to get a proper grasp of things before discussing it here. Currently I am a Masters students in Mathematics with my bachelors in Computer Science[integrated dual degree]. Over the last year and a half, I have worked on a few ML projects and have a couple of

Hi Rishabh, I think its better not to expose RankiList to Letor.h and make it better user friendly. So my suggestion is to convert RankList to the following statement in this method. std::map<Xapian::docid, double> letor_score(const Xapian::MSet & mset); So just convert the RankList in std::map<Xapian::docid, double> format in the methods where you need to return. Parth. On

Hi Rishabh, As per our last progress meeting, I am off for some days and as now its the time to mid-term evaluation, it would be better to generate a progress report. For that, you should first commit the code as it is and then write 2 to 3 page summary explaining the deliverables so far and then the future plan. Tomorrow is the last day, so better by tomorrow morning, send this across and by

Hello Rishabh, As per our previous discussion, we will talk each week now about the project. Please update the timeline/todo/journal accordingly so that we can check the status on this saturday for this week. Please remember that this half of the programme is smaller and hence we would need to be very punctual about the goals. Regards, Parth. -------------- next part -------------- An HTML

Hello Everyone, I am looking forward to contribute to Xapian and also apply as a Google Summer of Code student. I would like to start by introducing myself. I am a final year M.Sc.(H) Chemistry and B.E. (H) Electronics and Instrumentation student at BITS - Pilani, Goa. I am interested in Machine Learning and presently pursuing my thesis on the same. I have been selected for Google Summer of Code

Hello Rishabh, The attached diff file should help you to refactor the existing letor code and plug in your code easily. I have defined the header files with the necessary flow. I have also specified the ranker class, which should be implemented by a new LTR models, ListNet and ListMLE in your case. The evaluation file should be used for validating the performance of the algorithm in the training

Hello, Please find attached the patch which contains new features for the LETOR framework which increases the total features from 19 to 37. In my proposal I had mentioned of having a final count of 44 IR specific features apart from those learnt by unsupervised feature learning part via Deep Learning. So I am left with 7 out of those 44,of which 6 I will be implementing within the next 2

Hello all, This is in reference to "Learning to Rank" Project Idea. [I know, i made the entry a bit late, but hope you are still in interest to help out] I am looking for suggestions to help me narrowing down the choices of algorithms. I had been readily surveying on the referred algorithms for the purpose of choosing the right one. I am mentioning here some of my doubts to discuss and

HI, Parth: Thanks for your reply. There's xapian-letor folder in current master trunk, is this code merged in 2011? the letor code of 2012 is not merged to the trunk? Regards 2013/9/23 Parth Gupta <pargup8 at gmail.com> > Dear Jiangwen Jiang, > > The current state of the project can be reached from the repo: > http://trac.xapian.org/wiki/GSoC2012/LTR > > I would

Dear Sir, I am Pankaj Singhal from Jaipur, India. I am very much interested and strongly looking forward in getting involved in this project Learning-to-Rank. My previous experience in this field is good. Last semester I did a similar job of ranking the URLs of the given huge dataset based on their attribute values. The dataset consisted hundreds of thousands of URLs and each url

Hello, I am Parth Gupta, a selected GSoC 2011 student of Xapian. I have made a wiki page of the proposed project where I basically aim to introduce the project idea. http://trac.xapian.org/wiki/GSoC2011/LTR Hope to have a nice time ahead with xapian. Cheers, Parth, http://sites.google.com/site/parthg88 -------------- next part -------------- An HTML attachment was scrubbed... URL:

As Olly has already pointed out the 2012 branch is not merged. I think there are some compilation errors in the branch. The code in branch is better refactored. The Ranker and FeatureManager classes are well defined and implemented. Parth. On Wed, Sep 25, 2013 at 9:02 AM, Olly Betts <olly at survex.com> wrote: > On Tue, Sep 24, 2013 at 08:34:10PM +0800, jiangwen jiang wrote: >

Hi Rishabh, I took some time out in the recent days to work on the refactoring. And now it looks like I have included all the files necessary for the complete code. I am sure if it will be quite easy for you now to start with the new code. I would like you to complete it by implementing (copy/paste/little modification) some of the methods. https://github.com/parthg/xapian To make it easier,

Hello, I am Mudit Raj Gupta, fourth year student of M.S. (Hons.) Chemistry and B.E. (Hons.) Electronics and Instrumentation at BITS-Pilani ( http://www.bits-pilani.ac.in/). I am interested in *Machine Learning and Computaional Intelligence*. I have an interest in implementing various existing algorithms and developing modified/new algorithms related to machine learning and computational

Hello All, This time we are working on a weighting scheme "Learning to Rank" which involves machine learning and its a supervised ranking scheme unlike unsupervised schemes like BM25 under GSoC project. This mail intends to discuss the framework of the Learning to Rank in Xapian as a whole. I have thought of the following framework, pour in your insights or issues for the same. This is

Hi Vijay, > I am Vijay Mahantesh SM from India. I am an open > source enthusiast and a big fan of computational mathematics and research. > I came across the idea list of mentioned in the link<http://trac.xapian.org/wiki/GSoCProjectIdeas> and > was fascinated to find projects of my passion. As per my understanding of > the project, this project requires a good

Hi, Before starting my proposal, I wanted to know what is the expected output of Letor module. Is it for transfer learning (i.e you learn from one dataset and leverage it to predict the rankings of other dataset) or is it for supervised learning? For instance - Xapian currently powers the Gmane search which is by default based on BM25 weighting scheme and now suppose we want to use LETOR to rank

hello, I was having some problems in debugging C codes assocaited with R-packages. I don't have much experience with debugging tools used in C language. Is there any methods similar to R-debugging tools such as browser ,debug etc which can be used to debug such C files. I was using the foreign package and found a bug in reading dta files containing empty strings "" in the data. I

Dear R users, I am using nlme to fit a pharmacokinetic model. The base model is parameterized in terms of CL, V1, V2 and Q. basemodel<-nlme(Conc ~TwoCompModel(CL,Q,V1,V2,Time,ID), data = data2, fixed=list(CL+Q+V1+V2~1), random = pdDiag(CL+V1+V2~1), start=c(CL=log(20),Q=log(252),V1=log(24.9),V2=log(120)), control=list(returnObject=TRUE,msVerbose=TRUE, msMaxIter=20,pnlsMaxIter=20,pnlsTol=1),

Hi, Can someone tell me how to normalize a data set so that the mean of the set is 0 and the variance is 1. As I understand, when you calculate the principle components of a data set through correlation as < princomp( dataset, cor=T ) > then a similar calculation is performed. I would like to know how I can perform such a calulation directly. Any help would be greatly appreciated. Many