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226
Voted
ISAMI
2010
15 years 5 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
199
Voted
DFG
2009
Springer
16 years 2 months ago
2009
Springer
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
203
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ICPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
212
Voted
FSKD
2007
Springer
16 years 1 months ago
2007
Springer
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
210
Voted
SIGIR
2004
ACM
16 years 29 days ago
2004
ACM
Answer patterns have been shown to improve the performance of open-domain factoid QA systems. Their use, however, requires either constructing the patterns manually or developing ...