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» Bridging the Gap between Data Warehouses and Organizations
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NIPS
2008
13 years 9 months ago
Unlabeled data: Now it helps, now it doesn't
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
Aarti Singh, Robert D. Nowak, Xiaojin Zhu
SEKE
1993
Springer
13 years 11 months ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 1 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
HIPC
2009
Springer
13 years 5 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
CHIMIT
2007
ACM
13 years 11 months ago
Looking for trouble: understanding end-user security management
End users are often cast as the weak link in computer security; they fall victim to social engineering and tend to know very little about security technology and policies. This pa...
Joshua B. Gross, Mary Beth Rosson