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» On Kernel Methods for Relational Learning
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ICML
2003
IEEE
16 years 4 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
111
Voted
ICML
2000
IEEE
16 years 4 months ago
Learning to Create Customized Authority Lists
The proliferation of hypertext and the popularity of Kleinberg's HITS algorithm have brought about an increased interest in link analysis. While HITS and its older relatives ...
Huan Chang, David Cohn, Andrew McCallum
124
Voted
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
15 years 9 months ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
AAAI
1996
15 years 4 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
PROFES
2001
Springer
15 years 8 months ago
Augmenting Experience Reports with Lightweight Postmortem Reviews
Many small and medium-sized companies that develop software experience the same problems repeatedly, and have few systems in place to learn from their own mistakes as well as their...
Torgeir Dingsøyr, Nils Brede Moe, Øy...