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ICMLA
2009
14 years 7 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
ACL
2012
13 years 7 days ago
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons
Extracting sentiment and topic lexicons is important for opinion mining. Previous works have showed that supervised learning methods are superior for this task. However, the perfo...
Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, ...
ECCV
2002
Springer
15 years 11 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
EDBT
2010
ACM
185views Database» more  EDBT 2010»
15 years 4 months ago
Optimizing joins in a map-reduce environment
Implementations of map-reduce are being used to perform many operations on very large data. We examine strategies for joining several relations in the map-reduce environment. Our ...
Foto N. Afrati, Jeffrey D. Ullman
IEEESCC
2007
IEEE
15 years 4 months ago
Web Services Security and Privacy
eb services are becoming widely deployed to implement the automation of business processes such as supply chain management, inventory tracking, and healthcare management, just to ...
Patrick C. K. Hung, Casey K. Fung