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» Resampling methods for input modeling
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CIKM
2008
Springer
15 years 5 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
162
Voted
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 3 months ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
CGF
2007
99views more  CGF 2007»
15 years 3 months ago
Layered Performance Animation with Correlation Maps
Performance has a spontaneity and “aliveness” that can be difficult to capture in more methodical animation processes such as keyframing. Access to performance animation has ...
Michael Neff, Irene Albrecht, Hans-Peter Seidel
TAP
2008
Springer
93views Hardware» more  TAP 2008»
15 years 3 months ago
Pex-White Box Test Generation for .NET
Pex automatically produces a small test suite with high code coverage for a .NET program. To this end, Pex performs a systematic program analysis (using dynamic symbolic execution,...
Nikolai Tillmann, Jonathan de Halleux
161
Voted
BMCBI
2010
115views more  BMCBI 2010»
15 years 3 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...