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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 1 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ICPP
2009
IEEE
16 years 1 months ago
Run to Potential: Sweep Coverage in Wireless Sensor Networks
—Wireless sensor networks have become a promising technology in monitoring physical world. In many applications with wireless sensor networks, it is essential to understand how w...
Min Xi, Kui Wu, Yong Qi, Jizhong Zhao, Yunhao Liu,...
CIKM
2009
Springer
16 years 1 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
CIKM
2009
Springer
16 years 1 months ago
Analyzing and evaluating query reformulation strategies in web search logs
Users frequently modify a previous search query in hope of retrieving better results. These modifications are called query reformulations or query refinements. Existing research h...
Jeff Huang, Efthimis N. Efthimiadis
CIKM
2009
Springer
16 years 1 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
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