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PLDI
2010
ACM
15 years 11 months ago
Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses
Calling context--the set of active methods on the stack--is critical for understanding the dynamic behavior of large programs. Dynamic program analysis tools, however, are almost ...
Michael D. Bond, Graham Z. Baker, Samuel Z. Guyer
JMLR
2008
230views more  JMLR 2008»
15 years 2 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
ESANN
2003
15 years 3 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil
LWA
2004
15 years 3 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
CIC
2006
102views Communications» more  CIC 2006»
15 years 3 months ago
On-line Algorithm for Server Selection of Video Streaming over P2P Networks
We consider a video streaming application over P2P networks and introduce the P2P on-line server selection problem. This task is related to the classic K-server problem, known fro...
Hao Wang, Andras Farago