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ICLP
2010
Springer
15 years 11 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
DASFAA
2007
IEEE
194views Database» more  DASFAA 2007»
15 years 9 months ago
Telescope: Zooming to Interesting Skylines
As data of an unprecedented scale are becoming accessible, skyline queries have been actively studied lately, to retrieve “interesting” data objects that are not dominated by a...
Jongwuk Lee, Gae-won You, Seung-won Hwang
SAC
2010
ACM
15 years 9 months ago
Energy-efficient scheduling on homogeneous multiprocessor platforms
Low-power and energy-efficient system implementations have become very important design issues to extend operation duration or cut power bills. To balance the energy consumption r...
Jian-Jia Chen, Lothar Thiele
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 9 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
COLING
2008
15 years 9 months ago
Detecting Multiple Facets of an Event using Graph-Based Unsupervised Methods
We propose a new unsupervised method for topic detection that automatically identifies the different facets of an event. We use pointwise Kullback-Leibler divergence along with th...
Pradeep Muthukrishnan, Joshua Gerrish, Dragomir R....
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