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IJCNN
2008
IEEE
14 years 3 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
EVOW
2006
Springer
14 years 8 days ago
On Interactive Evolution Strategies
Abstract. In this paper we discuss Evolution Strategies within the context of interactive optimization. Different modes of interaction will be classified and compared. A focus will...
Ron Breukelaar, Michael Emmerich, Thomas Bäck
ICIDS
2009
Springer
14 years 1 months ago
Comparing Effects of Different Cinematic Visualization Strategies on Viewer Comprehension
Abstract. Computational storytelling systems have mainly focused on the construction and evaluation of textual discourse for communicating stories. Few intelligent camera systems h...
Arnav Jhala, R. Michael Young
ISSTA
2004
ACM
14 years 2 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 7 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish