801 search results - page 11 / 161 » The Inefficiency of Batch Training for Large Training Sets |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ATMOS
2007
13 years 9 months ago
2007
We face a real-world train unit assignment problem for an operator running trains in a regional area. Given a set of timetabled train trips, each with a required number of passenge...
ISMIR
2005
Springer
14 years 1 months ago
2005
Springer
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a method for face recognition based on a discriminative linear projection. In this formulation images are treated as tensors, rather than the more conventional vector o...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...