7648 search results - page 947 / 1530 » A Data Locality Optimizing Algorithm |
179
Voted
AAAI
2010
15 years 8 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
199
Voted
PODS
2008
ACM
16 years 6 months ago
2008
ACM
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
125
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ECAI
2006
Springer
15 years 10 months ago
2006
Springer
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
182
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
196
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CATA
2004
15 years 8 months ago
2004
Thinning operation is a fundamental operation in image processing. It is a typical preprocessing stage for pattern recognition and data compression. In this report we proposed an ...