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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 5 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
ICEIS
2009
IEEE
15 years 6 months ago
Vectorizing Instance-Based Integration Processes
Abstract. The inefficiency of integration processes—as an abstraction of workflow-based integration tasks—is often reasoned by low resource utilization and significant waiti...
Matthias Böhm, Dirk Habich, Steffen Preissler...
ICPR
2008
IEEE
15 years 6 months ago
Fast multiple instance learning via L1, 2 logistic regression
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Zhouyu Fu, Antonio Robles-Kelly
TKDE
2008
123views more  TKDE 2008»
14 years 11 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
OTM
2010
Springer
14 years 10 months ago
Empirical Analysis of Impacts of Instance-Driven Changes in Ontologies
Abstract. Changes in the characterization of instances in digital content are one of the rationales to evolve ontologies that support a domain. These changes can have impacts on on...
Yalemisew M. Abgaz, Muhammad Javed 0002, Claus Pah...