posted by user: paws || 4658 views || tracked by 18 users: [display]

TML 2013 : Tensor Methods for Machine Learning

FacebookTwitterLinkedInGoogle

Link: http://www.cip.ifi.lmu.de/~nickel/tml2013/
 
When Sep 27, 2013 - Sep 27, 2013
Where Prague
Submission Deadline Jun 27, 2013
Notification Due Jul 19, 2013
Final Version Due Aug 2, 2013
 

Call For Papers

Workshop Description
Tensors, as generalizations of vectors and matrices, have become increasingly popular in different areas of machine learning and data mining, where they are employed to approach a diverse number of difficult learning and analysis tasks. Prominent examples include learning on multi-relational data and large-scale knowledge bases, recommendation systems, computer vision, mining boolean data, neuroimaging or the analysis of time-varying networks. The success of tensors methods is strongly related to their ability to efficiently model, analyse and predict data with multiple modalities. To address specific challenges and problems, a variety of methods has been developed in different fields of application. This workshop should serve as a basis for an interdisciplinary exchange of methods, ideas and techniques, with the goal to develop a deeper understanding of tensor methods in machine learning, further advance existing approaches and enable new approaches to important problems. A particular focus of this workshop is to uncover underlying principles in tensor methods, their applications and associated problems. The workshop is intended for researchers in the machine learning, data minining and tensor communities to discuss novel methods and applications as well as theoretical advances.

The workshop consists of contributed talks, poster sessions and a number of invited talks which will cover important work and recents developments in tensor methods. Furthermore, the workshop will include open discussion sessions to encourage the exchange of ideas and the development of a common understanding of problems and methods among the participants of the workshop.

Related Resources

Fintech 2020   Sustainaility (Q2): Fintech: Recent Advancements in Modern Techniques, Methods and Real-World Solutions
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
ML4Music 2021   Special Issue: Machine Learning Applied to Music/Audio Signal Processing (Electronics)
DLRS 2021   Call for Papers: Topical Issue on Deep Learning for Recommender Systems
SCOPUS-PRIS 2021   3rd International Conference on Pattern Recognition and Intelligent Systems (PRIS 2021)
ACM--ICDLT--Ei, Scopus 2021   ACM--2021 5th International Conference on Deep Learning Technologies (ICDLT 2021)--Ei Compendex, Scopus
ISIPTA 2021   The Twelfth International Symposium on Imprecise Probability: Theories and Applications
MLE 2021   Machine Learning Ecosystems: Opportunities and Threads
ML4Educaion 2021   Special Issue on Machine Learning methods for Cloud-based IoT applications in Intelligent E-learning and Educational systems