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ECSQARU
2001
Springer
15 years 4 months ago
An Empirical Investigation of the K2 Metric
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
Christian Borgelt, Rudolf Kruse
AOSD
2003
ACM
15 years 5 months ago
Model-view-controller and object teams: a perfect match of paradigms
From the early days of object-oriented programming, the model-view-controller paradigm has been pursued for a clear design which separates different responsibilities within an in...
Matthias Veit, Stephan Herrmann
ECAI
2004
Springer
15 years 5 months ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
ECCV
2008
Springer
16 years 1 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
EDBT
2000
ACM
15 years 3 months ago
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes
In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses the "fat-factor" which provides a simple ...
Caetano Traina Jr., Agma J. M. Traina, Bernhard Se...