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» Optimizing the distribution of large data sets in theory and...
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ACML
2009
Springer
14 years 11 days ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
DSN
2006
IEEE
13 years 11 months ago
Empirical and Analytical Evaluation of Systems with Multiple Unreliable Servers
We construct, analyze and solve models of systems where a number of servers offer services to an incoming stream of demands. Each server goes through alternating periods of being ...
Jennie Palmer, Isi Mitrani
SIGMOD
2007
ACM
146views Database» more  SIGMOD 2007»
14 years 7 months ago
Distributed query evaluation with performance guarantees
Partial evaluation has recently proven an effective technique for evaluating Boolean XPath queries over a fragmented tree that is distributed over a number of sites. What left ope...
Gao Cong, Wenfei Fan, Anastasios Kementsietsidis
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
14 years 1 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
GBRPR
2009
Springer
14 years 2 months ago
On Computing Canonical Subsets of Graph-Based Behavioral Representations
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...