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Call for Papers: NIT Goa’s Latest Advances in Machine learning and Data Science (LAMBDA 2017) [Oct 25-27]: Submit by July 31: Expired

NIT Goa Lambda 2017

The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments.
Who can attend
Students, researchers and delegates from industry are invited to participate.
Call for Papers
Basic research papers as well as application papers are welcome. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
The full list of topics is given here.
Submissions must be in Portable Document Format (.pdf). The list of authors should not be included in the paper manuscript PDF, in accordance to the double blind submission policy. Changes to the paper metadata on Easychair are permitted before the paper submission deadline.
All submissions should be written in English with a maximum paper length of TEN (10) pages. However extra page charges will be applicable for papers of length exceeding Eight (08) pages. Authors should pay special attention to unusual fonts, images, and figures that might create problems for reviewers.
Full details are given on this page.
Registration Fees

Early Registration deadline 20th September 2017
Late Registration after 20th September 2017
Authors from R&D Organization & Academic InstitutionsIndianINR 10,000INR 12,000
ForeignUS$ 500US$ 700
Student AuthorIndianINR 8,000INR 10,000
ForeignUS$ 400US$ 600
Delegates from IndustriesINR 15,000
ParticipantsINR 4,000INR 5,000

The registration form is available here.
Important dates

  • Paper Submission Closes: 31st July 2017(FINAL)
  • Notifications of Acceptance/Rejection: 31st August 2017
  • Camera Ready paper submission: 15th September 2017
  • Registration Deadline: 20th September 2017
  • Conference dates: 25 – 27 October 2017


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