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ICML
2004
IEEE
15 years 6 months ago
Online learning of conditionally I.I.D. data
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
Daniil Ryabko
127
Voted
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 3 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ICVS
2009
Springer
15 years 7 months ago
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
IUI
2005
ACM
15 years 6 months ago
Adaptive teaching strategy for online learning
Finding the optimal teaching strategy for an individual student is difficult even for an experienced teacher. Identifying and incorporating multiple optimal teaching strategies fo...
Jungsoon P. Yoo, Cen Li, Chrisila C. Pettey
IJRR
2008
132views more  IJRR 2008»
15 years 16 days ago
Learning to Move in Modular Robots using Central Pattern Generators and Online Optimization
jr.sagepub.com/cgi/content/abstract/27/3-4/423 The online version of this article can be found at: Published by: http://www.sagepublications.com On behalf of: Multimedia Archives c...
Alexander Spröwitz, Rico Moeckel, Jér&...