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» Machine models and lower bounds for query processing
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ICML
2008
IEEE
16 years 4 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
127
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PDCAT
2005
Springer
15 years 9 months ago
A New Algorithm to Solve Synchronous Consensus for Dependent Failures
Fault tolerant algorithms are often designed under the t-out-of-n assumption, which is based on the assumption that all processes or components fail independently with equal proba...
Jun Wang, Min Song
LATIN
2004
Springer
15 years 9 months ago
Approximating the Expressive Power of Logics in Finite Models
Abstract. We present a probability logic (essentially a first order language extended with quantifiers that count the fraction of elements in a model that satisfy a first order ...
Argimiro Arratia, Carlos E. Ortiz
ICDE
2002
IEEE
181views Database» more  ICDE 2002»
15 years 8 months ago
YFilter: Efficient and Scalable Filtering of XML Documents
Soon, much of the data exchanged over the Internet will be encoded in XML, allowing for sophisticated filtering and content-based routing. We have built a filtering engine called ...
Yanlei Diao, Peter M. Fischer, Michael J. Franklin...
WADS
2009
Springer
223views Algorithms» more  WADS 2009»
15 years 10 months ago
Fault Tolerant External Memory Algorithms
Abstract. Algorithms dealing with massive data sets are usually designed for I/O-efficiency, often captured by the I/O model by Aggarwal and Vitter. Another aspect of dealing with ...
Gerth Stølting Brodal, Allan Grønlun...