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» Learning to Align: A Statistical Approach
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DIS
2004
Springer
15 years 5 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
IJCNN
2000
IEEE
15 years 4 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
CHI
2010
ACM
15 years 7 months ago
Interactive optimization for steering machine classification
Interest has been growing within HCI on the use of machine learning and reasoning in applications to classify such hidden states as user intentions, based on observations. HCI res...
Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric H...
114
Voted
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
14 years 10 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
86
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ICALT
2006
IEEE
15 years 6 months ago
Adapting for Visual and Verbal Learning Styles in AEH
This paper describes how visual and verbal learning styles have been successfully integrated into an adaptive educational environment. User trials of this system were carried out,...
Elizabeth J. Brown, Craig D. Stewart, Tim J. Brail...