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JMLR
2012
13 years 3 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 7 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
EVOW
2010
Springer
15 years 4 months ago
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functi...
Elena Marchiori
IJSWIS
2006
168views more  IJSWIS 2006»
15 years 1 months ago
Unraveling the Taste Fabric of Social Networks
Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness--the rich meanings bottled within social...
Hugo Liu, Pattie Maes, Glorianna Davenport
POPL
2005
ACM
16 years 1 months ago
Precise interprocedural analysis using random interpretation
We describe a unified framework for random interpretation that generalizes previous randomized intraprocedural analyses, and also extends naturally to efficient interprocedural an...
Sumit Gulwani, George C. Necula