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AAAI
2012
13 years 9 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
PLDI
2003
ACM
16 years 15 days ago
Optimizing indirect branch prediction accuracy in virtual machine interpreters
Interpreters designed for efficiency execute a huge number of indirect branches and can spend more than half of the execution time in indirect branch mispredictions. Branch target...
M. Anton Ertl, David Gregg
WISE
2002
Springer
16 years 4 days ago
Optimized Translation of XPath into Algebraic Expressions Parameterized by Programs Containing Navigational Primitives
We propose a new approach for the efficient evaluation of XPath expressions. This is important, since XPath is not only used as a simple, stand-alone query language, but is also ...
Sven Helmer, Carl-Christian Kanne, Guido Moerkotte
DEBS
2007
ACM
15 years 11 months ago
Temporal order optimizations of incremental joins for composite event detection
Queries for composite events typically involve the four complementary dimensions of event data, event composition, relationships between events (esp. temporal and causal), and acc...
François Bry, Michael Eckert
AAAI
2008
15 years 9 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...