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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 27 days ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 11 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
108
Voted
ECCV
2008
Springer
16 years 5 months ago
Towards Scalable Dataset Construction: An Active Learning Approach
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
Brendan Collins, Jia Deng, Kai Li, Fei-Fei Li 0002
121
Voted
AIED
2007
Springer
15 years 9 months ago
Benefits of Handwritten Input for Students Learning Algebra Equation Solving
Building on past results establishing a benefit for using handwriting when entering mathematics on the computer, we hypothesize that handwriting as an input modality may be able to...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger
104
Voted
MM
2005
ACM
123views Multimedia» more  MM 2005»
15 years 9 months ago
How speech/text alignment benefits web-based learning
This demonstration presents an integrated web-based synchronized scenario for many-to-one cross-media correlations between speech (an EFL, English as Foreign Language, lecture wit...
Sheng-Wei Li, Hao-Tung Lin, Herng-Yow Chen