similar to: GSoC Propsal: Learning to Rank Stabilisation

Hello, I'm Ayush from New Delhi, India. I am interested in Letor Stabilisation project for GSoC. I have a good background in machine learning. Sorry for getting in so late, university exams were holding me back. I'll try to cover as much as I can in the coming week. I am following the plan of attack suggested on the project page. Following are the things that I have completed: 1.

Hello Tobias, Thank you for the suggestion! Aditya also mentioned this. I will look into it. Best regards, Ruijie Ruijie Fang Email: ruijief at princeton.edu On Tue, Jun 2, 2020 at 12:48 PM Tobias Hieta <tobias at plexapp.com> wrote: > Hello Ruijie, > > One other workload that would be interesting to test might be clang > itself. Building clang with PGO information is a

Hi Teresa, Thank you for your reply! I discussed this with Aditya and Rodrigo today about this. We will always have PGO turned on for our benchmark, (i.e. we assume the profiling information is always available). In terms of the workload we supply to PGO: For postgresql, I suggested we use the "pgbench" benchmark, a TPC-B-based SQL benchmark for postgres, to supply profiling information

Hello, I am Ruijie Fang, a GSoC student working on "Improve hot cold splitting to aggressively outline small blocks." Over the course of last week, I met with my mentor and co-mentor, Aditya Kumar, and Rodrigo Rocha, and we made a preliminary plan on improving the existing hot/cold splitting pass in LLVM through identifying patterns of cold blocks in real-world workloads via block

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:

Hello, guys! How's it going? I would like to offer you myself again to implement one of the ideas during the GSoC 2012. I want to take care of the "Learning To Rank" project, but I would also be glad to pick the "QueryParser reimplementation", "Dynamic Snippets", "Gmane Search improvements" or even "Replace socket code with ZeroMQ" project (I

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 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

Hello, I'm Ruijie Fang, currently a 1st-year undergraduate at Princeton University, majoring in Computer Science. I am writing to to express my interest in the Google Summer of Code project: Improve MergeFunctions to incorporate MergeSimilarFunction patches and ThinLTO Support. I've read the LCTES'14 paper and found it quite interesting and comprehensible. I've also went as far

Hi In my previous mail I mentioned the project on KCoFI( the control FLow integrity methods for commodity hardware http://sva.cs.illinois.edu/pubs/KCoFI-Oakland-2014.pdf ). Will it be more helpful to the community if I do the improvements number #1 and #3 mentioned in my previous mail to the mailing list or if i try to port it to arm architecture? I have decided to go ahead with the improvements

Hello everyone, My name is Ayush Tomar. I'll be working on Learning to Rank stabilisation project over the summers. Here are a few things that I plan to do in coming few days: 1. Revise the timeline. There are some portions that I had kept for the first and second week of coding which have already been done (except writing tests). So, I'd like to adjust the timeline according to it. 2.

Hello everyone, I have completed introducing some code from v-hasu's branch into mine, mainly for Features, FeatureVector and FeatureManager classes. I have pushed the changes to https://github.com/ayshtmr/xapian/tree/letor-update. I am now proceeding to write unit tests for feature modules. There are a few things that I wanted to clarify: 1. I have introduced a lot of code in a single

I am interested in the project 'Learning to Rank Click Data Mining', and here is my current understanding about this project: 1. where can we get your click data. we can extend the omega to supports log the user's search and clicked documents 2. the specific click data information and format. Based on some paper and public query dataset format(AOL search query logs[1] and Sogou

On Mon, Jun 20, 2016 at 12:54 AM, vivek pandya <vivekvpandya at gmail.com> wrote: > Dear Professor, > > Thanks to bring this to notice, I tried out a simple test case with > indirect function call: > > int foo() { > return 12; > } > > int bar(int a) { > return foo() + a; > } > > int (*fp)() = 0; > int (*fp1)(int) = 0; > > int main() { >

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

Dear All, I'm afraid this applies to LLVM as well. So, please fill in the OpenProjects pages for GSoC today - 19:00 UTC Monday is morning in California, so Monday will be too late :( ---------- Forwarded message ---------- From: 'Stephanie Taylor' via Google Summer of Code Mentors List <google-summer-of-code-mentors-list at googlegroups.com> Date: Sun, Jan 28, 2018 at 11:05 AM

Hi all, We are preparing for a future batch, and we may be shorthanded for teaching. R is our programming language of choice. Data Science Retreat (DSR: http://datascienceretreat.com) sits at Microsoft Ventures offices in Berlin Mitte. We have chief-data-scientist mentors and a pretty exhaustive program on machine learning + data science. You can check it out here:

Hi folks, I would like to work on the implementation of "Devirtualization v2" proposal that I have shared a week ago. This mail is more like a FIY, because naturally, I don't have any questions about the project I propose myself :) Here you can see my GSoC proposal: https://docs.google.com/document/d/1QuxV4MVqP3Qa5RBgrC4SoWSPEj0dvAB6jFeSr8yA4LQ/edit?usp=sharing and here the RFC:

Hello, My proposal for GSoC 2018 on implementing a single updater class for Dominators [1] was accepted. This summer, I’ll work with my mentor Jakub Kuderski on implementing a new uniform API for Dominators and I will try to make incremental updates faster on that basis. Thanks, Chijun Sima [1] https://docs.google.com/document/d/1u16tMTV-OiOTW1mpdk88IFj6lV8Hb7-LijH0MIBl0IU/edit?usp=sharing

Hi, I am Abhishek Currently Xapian::Weight follows BM25 scheme, many models such as the Divergence from Randomness (DfR) family of models, Unigram Language Model and the Bi-gram Language Model implemented two years ago in GSoc 2012 yet not merged to the master. The new weighing schemes or improvement in implementing the previous models to change the default scheme of BM25 from SMART with