71 search results - page 12 / 15 » Mining IC test data to optimize VLSI testing |
CIKM
2010
Springer
14 years 4 months ago
2010
Springer
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
101
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DMIN
2010
14 years 7 months ago
2010
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
94
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
84
Voted
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
DMIN
2006
14 years 11 months ago
2006
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...