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ASPLOS
2012
ACM
14 years 2 months ago
Data races vs. data race bugs: telling the difference with portend
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like ...
Baris Kasikci, Cristian Zamfir, George Candea
SIGIR
2012
ACM
13 years 9 months ago
Time-based calibration of effectiveness measures
Many current effectiveness measures incorporate simplifying assumptions about user behavior. These assumptions prevent the measures from reflecting aspects of the search process...
Mark D. Smucker, Charles L. A. Clarke
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
MOBISYS
2003
ACM
16 years 6 months ago
Energy Aware Lossless Data Compression
Wireless transmission of a bit can require over 1000 times more energy than a single 32-bit computation. It would therefore seem desirable to perform significant computation to re...
Kenneth C. Barr, Krste Asanovic
MIDDLEWARE
2009
Springer
16 years 1 months ago
Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications
Mobile phones are set to become the universal interface to online services and cloud computing applications. However, using them for this purpose today is limited to two configura...
Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Kriv...
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