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ICML
2007
IEEE
15 years 10 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 1 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj
DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
ICDE
1999
IEEE
209views Database» more  ICDE 1999»
15 years 11 months ago
Parallel Classification for Data Mining on Shared-Memory Multiprocessors
We present parallel algorithms for building decision-tree classifiers on shared-memory multiprocessor (SMP) systems. The proposed algorithms span the gamut of data and task parall...
Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawa...
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
15 years 10 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan