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COGSCI
2002
60views more  COGSCI 2002»
13 years 7 months ago
Memory for goals: an activation-based model
Goal-directed cognition is often discussed in terms of specialized memory structures like the "goal stack." The goal-activation model presented here analyzes goal-direct...
Erik M. Altmann, J. Gregory Trafton
NAACL
2010
13 years 5 months ago
Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
Kevin Gimpel, Noah A. Smith
BMCBI
2006
111views more  BMCBI 2006»
13 years 7 months ago
Using ESTs to improve the accuracy of de novo gene prediction
Background: ESTs are a tremendous resource for determining the exon-intron structures of genes, but even extensive EST sequencing tends to leave many exons and genes untouched. Ge...
Chaochun Wei, Michael R. Brent
MICRO
2008
IEEE
72views Hardware» more  MICRO 2008»
14 years 2 months ago
Low-power, high-performance analog neural branch prediction
Shrinking transistor sizes and a trend toward low-power processors have caused increased leakage, high per-device variation and a larger number of hard and soft errors. Maintainin...
Renée St. Amant, Daniel A. Jiménez, ...
IPPS
2008
IEEE
14 years 2 months ago
On the Effectiveness of Rebuilding RNA Secondary Structures from Sequence Chunks
Despite the computing power of emerging technologies, predicting long RNA secondary structures with thermodynamics-based methods is still infeasible, especially if the structures ...
Michela Taufer, Thamar Solorio, Abel Licon, David ...