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ICMLA
2009
15 years 4 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
PRL
2011
14 years 9 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
16 years 16 days ago
Do additional objectives make a problem harder?
In this paper, we examine how adding objectives to a given optimization problem affects the computation effort required to generate the set of Pareto-optimal solutions. Experime...
Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus...
ICSE
1991
IEEE-ACM
15 years 10 months ago
Experiences with an Environment Generation System
We present our experience using the Gandalf environment generation system as a prototyping vehicle for the Inscape Environment. Our positive experience included experimentation, i...
Steven S. Popovich, William M. Schell, Dewayne E. ...
WADS
2005
Springer
114views Algorithms» more  WADS 2005»
15 years 12 months ago
Linear Time Algorithms for Generalized Edge Dominating Set Problems
Abstract. In this paper we consider a generalization of the edge dominating set (EDS) problem, in which each edge e needs to be covered be times and refer to this as the b-EDS prob...
André Berger, Ojas Parekh