iWML 2016 - 2nd Indian Workshop on Machine Learning
Date2016-07-01 - 2016-07-03
Deadline2016-05-08
VenueIndian Institute of Technology Kanpur (IITK), India
Keywords
Topics/Call fo Papers
2nd Indian Workshop on Machine Learning
Submission deadline: 8th May 2016 (23:59 IST)
Submission instructions: http://tinyurl.com/glnxql2
Submission website: http://tinyurl.com/jkkoxvr
Workshop website: http://www2.cse.iitk.ac.in/~iwml/
The 2nd Indian Workshop on Machine Learning (iWML) will organized by the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IITK), during July 1-3, 2016. The workshop seeks to foster growth and excellence in the emerging machine learning community in India. We have significantly expanded the scope of the workshop, including talks and tutorials on modern and cutting edge topics such as reinforcement learning, non-convex optimization, deep learning, and contemporary applications of machine learning to medicine, social media, and vision.
iWML 2016 will host over a dozen leading figures in machine learning and data sciences who will be delivering tutorials and keynotes on the cutting edge of the field. The workshop will also host contributed talks, spotlights, and poster sessions.
List of Invited Speakers: http://tinyurl.com/j83lxag
Technical Areas: Papers are solicited in all areas of machine learning including, but not limited to:
1. Learning algorithms: Bayesian learning, graphical models, deep learning, kernel and non-parametric methods, approximate inference, structured prediction, ranking, multi-label classification, neural networks, dimensionality reduction, and optimization.
2. Applications: applications to natural language processing, text analysis, recommendation systems, computer vision, systems biology, web and social network analysis, and data mining.
3. Reinforcement learning: online learning, bandit learning, planning, decision and control, Markov decision processes, and multi-agent systems.
4. Theory: statistical learning theory, generalization error bounds, lower bounds or hardness results.
5. Signal processing: coding, denoising, segmentation, sparse recovery, and source separation.
The submission details for the workshop are as follows:
Submission deadline: 8th May 2016 (23:59 Indian Standard Time)
Submission instructions: http://tinyurl.com/glnxql2
Submission website: http://tinyurl.com/jkkoxvr
Submission deadline: 8th May 2016 (23:59 IST)
Submission instructions: http://tinyurl.com/glnxql2
Submission website: http://tinyurl.com/jkkoxvr
Workshop website: http://www2.cse.iitk.ac.in/~iwml/
The 2nd Indian Workshop on Machine Learning (iWML) will organized by the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IITK), during July 1-3, 2016. The workshop seeks to foster growth and excellence in the emerging machine learning community in India. We have significantly expanded the scope of the workshop, including talks and tutorials on modern and cutting edge topics such as reinforcement learning, non-convex optimization, deep learning, and contemporary applications of machine learning to medicine, social media, and vision.
iWML 2016 will host over a dozen leading figures in machine learning and data sciences who will be delivering tutorials and keynotes on the cutting edge of the field. The workshop will also host contributed talks, spotlights, and poster sessions.
List of Invited Speakers: http://tinyurl.com/j83lxag
Technical Areas: Papers are solicited in all areas of machine learning including, but not limited to:
1. Learning algorithms: Bayesian learning, graphical models, deep learning, kernel and non-parametric methods, approximate inference, structured prediction, ranking, multi-label classification, neural networks, dimensionality reduction, and optimization.
2. Applications: applications to natural language processing, text analysis, recommendation systems, computer vision, systems biology, web and social network analysis, and data mining.
3. Reinforcement learning: online learning, bandit learning, planning, decision and control, Markov decision processes, and multi-agent systems.
4. Theory: statistical learning theory, generalization error bounds, lower bounds or hardness results.
5. Signal processing: coding, denoising, segmentation, sparse recovery, and source separation.
The submission details for the workshop are as follows:
Submission deadline: 8th May 2016 (23:59 Indian Standard Time)
Submission instructions: http://tinyurl.com/glnxql2
Submission website: http://tinyurl.com/jkkoxvr
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Last modified: 2016-03-14 22:35:53