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» Introduction to Functional Programming
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EMNLP
2011
14 years 2 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
125
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GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 6 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
ICPR
2008
IEEE
15 years 9 months ago
Tree-serial dynamic programming for image processing
A lot of image analysis problems lend themselves to a unified mathematical formulation as optimization problems. Tree-serial dynamic programming is a particular case of the so-cal...
Andrey Kopylov
115
Voted
SCAM
2006
IEEE
15 years 8 months ago
Comparative Study of Refactoring Haskell and Erlang Programs
Refactoring is about changing the design of existing code without changing its behaviour, but with the aim of making code easier to understand, modify, or reuse. Taking Haskell an...
Huiqing Li, Simon Thompson
RECOMB
2005
Springer
16 years 2 months ago
Modeling the Combinatorial Functions of Multiple Transcription Factors
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
Chen-Hsiang Yeang, Tommi Jaakkola