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MSE
1999
IEEE
110views Hardware» more  MSE 1999»
15 years 6 months ago
Active Learning in an Electronic Design Automation Course
This paper summarizes the rationale behind revision of an electronic design automation course and the resulting learning objectives and course model. Early experiences are highlig...
Diane T. Rover, Nayda G. Santiago, Mel M. Tsai
ECIR
2007
Springer
15 years 3 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
IJCAI
2007
15 years 3 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 1 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
STOC
1993
ACM
117views Algorithms» more  STOC 1993»
15 years 6 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns