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SIGIR
2008
ACM
13 years 8 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
WWW
2004
ACM
14 years 9 months ago
CS AKTive space: representing computer science in the semantic web
We present a Semantic Web application that we call CS AKTive Space1 . The application exploits a wide range of semantically heterogeneous and distributed content relating to Compu...
Monica M. C. Schraefel, Nigel R. Shadbolt, Nichola...
VIS
2004
IEEE
218views Visualization» more  VIS 2004»
14 years 10 months ago
Pixel-Exact Rendering of Spacetime Finite Element Solutions
Computational simulation of time-varying physical processes is of fundamental importance for many scientific and engineering applications. Most frequently, time-varying simulation...
Michael Garland, Robert Haber, Yuan Zhou
FPL
2008
Springer
111views Hardware» more  FPL 2008»
13 years 10 months ago
Sampling from the exponential distribution using independent Bernoulli variates
The exponential distribution is a key distribution in many event-driven Monte-Carlo simulations, where it is used to model the time between random events in the system. This paper...
David B. Thomas, Wayne Luk
JMLR
2006
145views more  JMLR 2006»
13 years 8 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street