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135
Voted
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 3 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
16 years 3 months ago
Asynchronous view maintenance for VLSD databases
The query models of the recent generation of very large scale distributed (VLSD) shared-nothing data storage systems, including our own PNUTS and others (e.g. BigTable, Dynamo, Ca...
Parag Agrawal, Adam Silberstein, Brian F. Cooper, ...
SIGMOD
2006
ACM
111views Database» more  SIGMOD 2006»
16 years 3 months ago
Reconciling while tolerating disagreement in collaborative data sharing
In many data sharing settings, such as within the biological and biomedical communities, global data consistency is not always attainable: different sites' data may be dirty,...
Nicholas E. Taylor, Zachary G. Ives
ICSE
2007
IEEE-ACM
16 years 3 months ago
Feedback-Directed Random Test Generation
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
170
Voted
ICFP
2001
ACM
16 years 3 months ago
Functioning without Closure: Type-Safe Customized Function Representations for Standard ML
The CIL compiler for core Standard ML compiles whole ML programs using a novel typed intermediate language that supports the generation of type-safe customized data representation...
Allyn Dimock, Ian Westmacott, Robert Muller, Frank...
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