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» Evaluating algorithms that learn from data streams
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ICDAR
2007
IEEE
16 years 22 days ago
Automatic Extraction of Data from 2-D Plots in Documents
Two-dimensional (2-D) plots in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using pl...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
DCC
2008
IEEE
16 years 6 months ago
Server Placement in Multiple-Description-Based Media Streaming
Multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding a me...
Satyajeet Ahuja, Marwan Krunz
ICML
1998
IEEE
16 years 7 months ago
The Case against Accuracy Estimation for Comparing Induction Algorithms
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Foster J. Provost, Tom Fawcett, Ron Kohavi
ICML
2000
IEEE
16 years 7 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
IV
2005
IEEE
101views Visualization» more  IV 2005»
15 years 12 months ago
Generation of Graphical Representations of Student Tracking Data in Course Management Systems
An approach of employing Information Visualisation to develop systems that facilitate instructors in web-based distance learning is presented here. The paper describes a tool, cal...
Riccardo Mazza, Vania Dimitrova