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EDM
2009
116views Data Mining» more  EDM 2009»
15 years 4 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
ICDAR
2009
IEEE
16 years 29 days ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
JMLR
2002
87views more  JMLR 2002»
15 years 5 months ago
Shallow Parsing using Noisy and Non-Stationary Training Material
Shallow parsers are usually assumed to be trained on noise-free material, drawn from the same distribution as the testing material. However, when either the training set is noisy ...
Miles Osborne
TOH
2008
118views more  TOH 2008»
15 years 6 months ago
Using Haptics to Convey Cause-and-Effect Relations in Climate Visualization
We investigate the potential role of haptics in augmenting the visualization of climate data. In existing approaches to climate visualization, different dimensions of climate data...
Nesra Yannier, Cagatay Basdogan, Serdar Tasiran, O...