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AAAI
2006
13 years 9 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin
HIPC
2009
Springer
13 years 5 months ago
Highly scalable algorithm for distributed real-time text indexing
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 7 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
TAMC
2007
Springer
14 years 1 months ago
Improving the Average Delay of Sorting
In previous work we have introduced an average-case measure for the time complexity of Boolean circuits – that is the delay between feeding the input bits into a circuit and the ...
Andreas Jakoby, Maciej Liskiewicz, Rüdiger Re...
SIGCOMM
2006
ACM
14 years 1 months ago
Minimizing churn in distributed systems
A pervasive requirement of distributed systems is to deal with churn — change in the set of participating nodes due to joins, graceful leaves, and failures. A high churn rate ca...
Brighten Godfrey, Scott Shenker, Ion Stoica