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» An Instance Selection Approach to Multiple Instance Learning
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HIS
2007
14 years 11 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
CHI
2009
ACM
15 years 10 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
IJCV
2011
264views more  IJCV 2011»
14 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ECML
2001
Springer
15 years 2 months ago
Wrapping Web Information Providers by Transducer Induction
Modern agent and mediator systems communicate to a multitude of Web information providers to better satisfy user requests. They use wrappers to extract relevant information from HT...
Boris Chidlovskii
ERCIMDL
2009
Springer
103views Education» more  ERCIMDL 2009»
15 years 4 months ago
Functional Adaptivity for Digital Library Services in e-Infrastructures: The gCube Approach
We consider the problem of e-Infrastructures that wish to reconcile the generality of their services with the bespoke requirements of diverse user communities. We motivate the requ...
Fabio Simeoni, Leonardo Candela, David Lievens, Pa...