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» Minimal Kernel Classifiers
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ICML
1999
IEEE
15 years 10 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
85
Voted
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
15 years 10 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
72
Voted
SOSP
2009
ACM
15 years 6 months ago
Debugging in the (very) large: ten years of implementation and experience
Windows Error Reporting (WER) is a distributed system that automates the processing of error reports coming from an installed base of a billion machines. WER has collected billion...
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg...
102
Voted
EDCC
2006
Springer
15 years 1 months ago
SEU Mitigation Techniques for Microprocessor Control Logic
The importance of fault tolerance at the processor architecture level has been made increasingly important due to rapid advancements in the design and usage of high performance de...
T. S. Ganesh, Viswanathan Subramanian, Arun K. Som...
APAL
2007
78views more  APAL 2007»
14 years 9 months ago
Partial Horn logic and cartesian categories
A logic is developed in which function symbols are allowed to represent partial functions. It has the usual rules of logic (in the form of a sequent calculus) except that the subs...
Erik Palmgren, Steven J. Vickers