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Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
223
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JMLR
2012
13 years 9 months ago
2012
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
284
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ICDE
2012
IEEE
13 years 9 months ago
2012
IEEE
Abstract—After decades of effort working on database performance, the quality and the usability of database systems have received more attention in recent years. In particular, t...
265
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
200
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ISCA
2012
IEEE
13 years 9 months ago
2012
IEEE
Modern memory controllers employ sophisticated address mapping, command scheduling, and power management optimizations to alleviate the adverse effects of DRAM timing and resource...