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» BoltzRank: learning to maximize expected ranking gain
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AIED
2009
Springer
13 years 11 months ago
Detecting the Learning Value of Items In a Randomized Problem Set
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
Zachary A. Pardos, Neil T. Heffernan
IJCAI
2003
13 years 6 months ago
Use of Off-line Dynamic Programming for Efficient Image Interpretation
An interpretation system finds the likely mappings from portions of an image to real-world objects. An interpretation policy specifies when to apply which imaging operator, to whi...
Ramana Isukapalli, Russell Greiner
CVPR
2003
IEEE
14 years 7 months ago
A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
DongQing Zhang, Shih-Fu Chang
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 8 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
WONS
2005
IEEE
13 years 10 months ago
Fast Distributed Algorithm for Convergecast in Ad Hoc Geometric Radio Networks
—Wireless ad hoc radio networks have gained a lot of attention in recent years. We consider geometric networks, where nodes are located in a euclidean plane. We assume that each ...
Alexander Kesselman, Dariusz R. Kowalski