similar to: About the projects of "Ranking" for GSoC 2012

Hi, I am undergraduate final year student of Bangladesh University of Engineering & Technology(BUET). I am currently doing my thesis on structured web search engine. I am now interested to do a project related to my thesis in GSoC. Weighting Schemes & Dynamic Snippets are two projects i m interested in. Can you give some guidance about the projects & about how i can approve my

Hi, I am undergraduate final year student of Bangladesh University of Engineering & Technology(BUET). I am currently doing my thesis on structured web search engine. I am now interested to do a project related to my thesis in GSoC. Weighting Schemes & Dynamic Snippets are two projects i m interested in. Can you give some guidance about the projects & about how i can approve my

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 Guys. I have updated the code,tests,documentation,makefile entries and the registry entry of the* *TfIdf patch as per the feedback.Please do let me know if any additional changes are required before the patch can be merged, -Regards -Aarsh On Sun, Mar 3, 2013 at 2:50 PM, aarsh shah <aarshkshah1992 at gmail.com> wrote: > Hello guys.I have sent a pull request for the code and

Hi All, I am trying to learn Neural Networks. I found that R has packages which can help build Neural Nets - the popular one being AMORE package. Is there any book / resource available which guides us in this subject using the AMORE package? Any help will be much appreciated. Thanks, Indrajit

Hello, I want to discuss my idea on ranking in IR system which I think can be good extension to Xapian. If I am not too late to discuss it then please consider it. I first give you brief background of me, I am a Masters student working on my thesis in the Information Retrieval. I today only got a mail from one of the professor from Europe whom i am going to join for Ph.D about GSoC and more

Hi everyone, I'm a graduate student of engineering, lately introduced with R. and using R for my project and thesis. I'm trying to use R for implementing a neural network regression model and apply it to my database. I found three R packages ("AMORE" , "grnnR" , "neural") in R website, but their manuals are not really user-friendly in my idea. I was wondering

Hi! I am studying to use some R libraries which are applied for working with artificial neural neworks (amore, nnet). Can you recommend some useful, reliable and easy to get example data to use in R for creating and testing a neural network? __________________________________________________________________ Make your browsing faster, safer, and easier with the new Internet

I was not sharing it on maling list because i thought that someone can use all ideas i proposed in their GSOC proposal. Surely i will contribute to xapian project. sorry if that was against the rules The algorithm is not developed by me but after having much research on various clustering techniques. I found that there is a new algorithm called CLUBS(Clustering Using Binary Splitting) which gives

Hello guys.I have sent a pull request for the code and tests of the Tf-Idf weighting scheme. Please do let me know if any changes are required.Meanwhile,Ill begin working on implementing normalizations which require additional statistics and on the DFR schemes. https://github.com/xapian/xapian/pull/6 On Tue, Feb 26, 2013 at 5:30 PM, <xapian-devel-request at lists.xapian.org>wrote: >

Hi. I started with a file which was a sparse 982x923 matrix and where the last column was a variable to be predicted. I did principle component analysis on it and arrived at a new 982x923 matrix. Then I ran the code below to get a neural network using nnet and then wanted to get a confusion matrix or at least know how accurate the neural net was. I used the first 22 principle components only for

Hello guys :) I have sent a pull request for the Tf-Idf Weighting scheme incorporating as many normalizations as I could with the help of statistics currently available from Xapian::Weight . Please let me know what you'll think about it. I used the weighting scheme in a simple searcher and it did a fine job with it. I have no experience with writing tests for features like this.Please give me

hi, im trying to log on to my win2003 ADS from Samba3-0.2a, buet every time to run i got the same message dmm:/home/dmagana # net ads join -U dmagana dmagana password: [2004/04/06 09:09:48, 0] libads/kerberos.c:ads_kinit_password(134) kerberos_kinit_password dmagana@GENESIS.LOCAL failed: Cannot contact any KDC for requested realm dmm:/home/dmagana # my domain is genesis.local, but i

I am interested in Neural network models in R. Is there any reference material/tutorial which i can use. Regards, ____________________________________________________________________________________ TV dinner still cooling? Check out "Tonight's Picks" on Yahoo! TV.

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Hi all, I am trying to develop a neural network with single target variable and 5 input variables to predict the importance of input variables using R. I used the packages nnet and RSNNS. But unfortunately I could not interpret the out put properly and the documentation of that packages also not giving proper direction. Please help me to find a good package with a proper documentation for neural

Hello, I use nnet to do prediction for a continuous variable. after that, I calculate correlation coefficient between predicted value and real observation. I run my code(see following) several time, but I get different correlation coefficient each time. Anyone know why? In addition, How to calculate prediction accuracy for prediction of continuous variable? Aimin thanks, > m.nn.omega

Hi, I am trying to build a VERY basic neural network as a practice before hopefully increasing my scope. To do so, I have been using package "neural" and the MLP related functions (mlp and mlptrain) within that package. So far, I have created a basic network, but I have been unable to change the default activation function. If someone has a suggestion, please advise. The goal of the

Hi, I am starting to play around with neural networks and noticed that there are several packages on the CRAN website for neural networks (AMORE, grnnR, neural, neuralnet, maybe more if I missed them). Are any of these packages more well-suited for newbies to neural networks? Are there any relative strengths / weaknesses to the different implementations? If anyone has any advice before I dive

Hi, I'm Michael, I would like to participate in this year's Google Summer of Code, and I picked Xapian as the project to code for. Before writing a full proposal, I want to get in contact with the community, as well as introducing myself and discuss my ideas for the contribution to Xapian. First of all I'd like to talk about my motivation. I'm currently working on a webapp