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ICML
2007
IEEE
14 years 9 months ago
On learning linear ranking functions for beam search
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
Yuehua Xu, Alan Fern
ICML
2006
IEEE
14 years 9 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
GOSLER
1995
14 years 1 days ago
A Guided Tour Across the Boundaries of Learning Recursive Languages
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
Thomas Zeugmann, Steffen Lange
EDUTAINMENT
2008
Springer
13 years 10 months ago
Teaching Machine Learning to Design Students
Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge t...
Bram van der Vlist, Rick van de Westelaken, Christ...
BCSHCI
2009
13 years 9 months ago
Paper-based concept map: the effects of tabletop on an expressive collaborative learning task
Augmented tabletops have recently attracted considerable attention in the literature. However, little has been known about the effects that these interfaces have on learning tasks...
Son Do-Lenh, Frédéric Kaplan, Pierre...