1955 search results - page 231 / 391 » Online Multitask Learning |
113
Voted
SBIA
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
144
Voted
NIPS
1996
15 years 5 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
136
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
128
Voted
IJACDT
2011
14 years 7 months ago
2011
This study wishes to describe some of the key components of an art educational domain entitled ground<c>, which is being developed specifically for three dimensional online ...
109
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...