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» Adaptive Learning in Machine Summarization
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NAACL
2004
13 years 9 months ago
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
Regina Barzilay, Lillian Lee
ICALT
2005
IEEE
14 years 2 months ago
Elearning versus Alearning
The current literature and practice often mentions elearning. But elearning is often not successful. We suggest an alternative approach, alearning or adaptive learning. The format...
Alfred Bork, Gin-Fon Nancy Ju
AMC
2007
138views more  AMC 2007»
13 years 8 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
SIGKDD
2008
158views more  SIGKDD 2008»
13 years 8 months ago
KDD cup 2008 and the workshop on mining medical data
In this report we summarize the KDD Cup 2008 task, which addressed a problem of early breast cancer detection. We describe the data and the challenges, the results and summarize t...
R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapur...
ICML
2010
IEEE
13 years 9 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov