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» An ASM-Characterization of a Class of Distributed Algorithms
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PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 3 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
15 years 10 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
ICDCS
2003
IEEE
15 years 3 months ago
Software Fault Tolerance of Distributed Programs Using Computation Slicing
Writing correct distributed programs is hard. In spite of extensive testing and debugging, software faults persist even in commercial grade software. Many distributed systems, esp...
Neeraj Mittal, Vijay K. Garg
ICDCS
2007
IEEE
15 years 1 months ago
Communication-Efficient Tracking of Distributed Cumulative Triggers
In recent work, we proposed D-Trigger, a framework for tracking a global condition over a large network that allows us to detect anomalies while only collecting a very limited amo...
Ling Huang, Minos N. Garofalakis, Anthony D. Josep...
AAAI
2010
14 years 11 months ago
Facial Age Estimation by Learning from Label Distributions
One of the main difficulties in facial age estimation is the lack of sufficient training data for many ages. Fortunately, the faces at close ages look similar since aging is a slo...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou