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ICML
2004
IEEE
14 years 11 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
UAI
2004
13 years 11 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetic optimization for yacht design
This paper introduces a procedure for using genetic multiobjective optimization in yacht design. The problem described consists on the optimization of a bulb shape to improve the ...
Paolo Geremia, Mauro Poian, Silvia Poles
LCTRTS
2005
Springer
14 years 3 months ago
Cache aware optimization of stream programs
Effective use of the memory hierarchy is critical for achieving high performance on embedded systems. We focus on the class of streaming applications, which is increasingly preval...
Janis Sermulins, William Thies, Rodric M. Rabbah, ...
PR
2006
83views more  PR 2006»
13 years 10 months ago
Optimal convex error estimators for classification
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...
Chao Sima, Edward R. Dougherty