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» Backdoors in the Context of Learning
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FOCS
2008
IEEE
15 years 4 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
OTM
2005
Springer
15 years 3 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
ICALT
2003
IEEE
15 years 3 months ago
Adaptive Exploration of Assessment Results under Uncertainty
In the context of Intelligent Learning Environments (ILE), adaptivity plays a key role. In order to achieve adaptive behavior an ILE should have a rich representation of the learn...
Dimitris Lamboudis, Anastasios A. Economides, Anas...
IV
2010
IEEE
140views Visualization» more  IV 2010»
14 years 8 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
ICML
2001
IEEE
15 years 10 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz