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JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
ISVC
2009
Springer
15 years 11 months ago
Data Vases:  2D and 3D Plots for Visualizing Multiple Time Series
Abstract. One challenge associated with the visualization of time-dependent data is to develop graphical representations that are effective for exploring multiple time-varying qua...
Sidharth Thakur, Theresa-Marie Rhyne
CHES
2005
Springer
281views Cryptology» more  CHES 2005»
16 years 4 days ago
Data Remanence in Flash Memory Devices
Data remanence is the residual physical representation of data that has been erased or overwritten. In non-volatile programmable devices, such as UV EPROM, EEPROM or Flash, bits ar...
Sergei P. Skorobogatov
SEMWEB
2001
Springer
15 years 11 months ago
On the Integration of Topic Maps and RDF data
Abstract. Topic Maps and RDF are two independently developed paradigms and standards for the representation, interchange, and exploitation of model-based data on the web. Each para...
Martin S. Lacher, Stefan Decker
ECML
2006
Springer
15 years 10 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...