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ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ECMDAFA
2005
Springer
236views Hardware» more  ECMDAFA 2005»
13 years 11 months ago
Model-Driven Architecture for Hard Real-Time Systems: From Platform Independent Models to Code
The model-driven software development for hard real-time systems promotes the usage of the platform independent model as major design artifact. It is used to develop the software l...
Sven Burmester, Holger Giese, Wilhelm Schäfer
IPPS
1998
IEEE
13 years 10 months ago
Predicting the Running Times of Parallel Programs by Simulation
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
Radu Rugina, Klaus E. Schauser
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 10 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
CONSTRAINTS
2008
117views more  CONSTRAINTS 2008»
13 years 6 months ago
Domain Specific High-Level Constraints for User Interface Layout
We present the Auckland Layout Model (ALM), a constraint-based technique for specifying 2D layout as it is used for arranging the controls in a GUI. Most GUI frameworks offer layo...
Christof Lutteroth, Robert Strandh, Gerald Weber