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» Informative sampling for large unbalanced data sets
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PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 7 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
DAC
2010
ACM
15 years 6 months ago
Electronic design automation for social networks
Online social networks are a growing internet phenomenon: they connect millions of individuals through sharing of common interests, political and religious views, careers, etc. So...
Andrew DeOrio, Valeria Bertacco
138
Voted
MICRO
1999
IEEE
109views Hardware» more  MICRO 1999»
15 years 7 months ago
Compiler-Directed Dynamic Computation Reuse: Rationale and Initial Results
Recent studies on value locality reveal that many instructions are frequently executed with a small variety of inputs. This paper proposes an approach that integrates architecture...
Daniel A. Connors, Wen-mei W. Hwu
142
Voted
CIKM
2009
Springer
15 years 8 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
152
Voted
HIPEAC
2009
Springer
15 years 10 months ago
Collective Optimization
Abstract. Iterative compilation is an efficient approach to optimize programs on rapidly evolving hardware, but it is still only scarcely used in practice due to a necessity to gat...
Grigori Fursin, Olivier Temam