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ICML
2005
IEEE
14 years 9 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
ICML
2003
IEEE
14 years 9 months ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario
ICML
2007
IEEE
14 years 9 months ago
Sample compression bounds for decision trees
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
Mohak Shah
COLING
2008
13 years 10 months ago
Experiments with Reasoning for Temporal Relations between Events
Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articl...
Marta Tatu, Munirathnam Srikanth
READING
2004
Springer
14 years 2 months ago
Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts
Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion met...
Stefan Klink