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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 3 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
ICPR
2002
IEEE
15 years 3 months ago
Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction
In order to enable high-level semantics-based video annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units,...
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
COLT
2008
Springer
14 years 11 months ago
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Elad Hazan, Satyen Kale
ACL
2007
14 years 11 months ago
Fast Semantic Extraction Using a Novel Neural Network Architecture
We describe a novel neural network architecture for the problem of semantic role labeling. Many current solutions are complicated, consist of several stages and handbuilt features...
Ronan Collobert, Jason Weston
AIA
2007
14 years 11 months ago
Improving extractive dialogue summarization by utilizing human feedback
Automatic summarization systems usually are trained and evaluated in a particular domain with fixed data sets. When such a system is to be applied to slightly different input, la...
Margot Mieskes, Christoph Müller, Michael Str...