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93
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ICSE
1998
IEEE-ACM
15 years 4 months ago
A Model of Noisy Software Engineering Data (Status Report)
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...
Roseanne Tesoriero, Marvin V. Zelkowitz
100
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
112
Voted
ACCV
2006
Springer
15 years 6 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
EMNLP
2007
15 years 2 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder
98
Voted
TSP
2008
107views more  TSP 2008»
15 years 17 days ago
Opportunistic Spectrum Access via Periodic Channel Sensing
The problem of opportunistic access of parallel channels occupied by primary users is considered. Under a continuous-time Markov chain modeling of the channel occupancy by the prim...
Qing Zhao, Stefan Geirhofer, Lang Tong, Brian M. S...