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AIEDAM
1998
87views more  AIEDAM 1998»
13 years 9 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
ICML
2010
IEEE
13 years 10 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
AAAI
2010
13 years 9 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
ICML
2008
IEEE
14 years 10 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
FUZZIEEE
2007
IEEE
14 years 3 months ago
Mining and Predicting CpG islands
— A DNA sequence can be described as a string composed of four symbols: A, T, C and G. Each symbol represents a chemically distinct nucleotide molecule. Combinations of two nucle...
Christopher Previti, Oscar Harari, Coral del Val