1175 search results - page 107 / 235 » A scalable method for the generation of small test sets |
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
AUTOMATICA
2008
13 years 9 months ago
2008
Abstract-- In experimentally assessing the stability and performance level of a large collection of controllers in feedback with a single unknown actual plant, we develop a method ...
ATAL
2010
Springer
13 years 10 months ago
2010
Springer
We present a fully distributed multi-agent planning algorithm. Our methodology uses distributed constraint satisfaction to coordinate between agents, and local planning to ensure ...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
TEC
2008
13 years 9 months ago
2008
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...