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AI
2010
Springer
14 years 9 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
TSP
2008
14 years 9 months ago
2008
In Part I ["The shiftable complex directional pyramid--Part I: Theoretical Aspects," IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 10, October 2008], we proposed a...
ESWA
2008
14 years 9 months ago
2008
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
ECCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...