1474 search results - page 22 / 295 » Using Machine Learning to Focus Iterative Optimization |
138
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JMLR
2010
15 years 21 days ago
2010
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
109
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PLDI
2010
ACM
15 years 6 months ago
2010
ACM
While iterative optimization has become a popular compiler optimization approach, it is based on a premise which has never been truly evaluated: that it is possible to learn the b...
140
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ECTEL
2007
Springer
15 years 6 months ago
2007
Springer
Mobile learning (m-learning) integrates the current mobile computing technology with educational aspects to enhance the effectiveness of the traditional learning process. This pape...
173
Voted
KDD
2012
ACM
13 years 4 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
123
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AIPS
2010
15 years 2 months ago
2010
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...