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» Active learning using pre-clustering
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WWW
2010
ACM
14 years 3 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 10 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
COMPSAC
2007
IEEE
14 years 3 months ago
Learning Parameterized State Machine Model for Integration Testing
Although many of the software engineering activities can now be model-supported, the model is often missing in software development. We are interested in retrieving statemachine m...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
ICWL
2003
Springer
14 years 2 months ago
Perspectives on Creativity in Web learning
Creativity is an important asset in today’s fast changing environment. We believe it can and should be stimulated in educational environments, through the use of tools and carefu...
Adriana Santarosa Vivacqua, Francisco Mattos, Albe...
TITS
2008
250views more  TITS 2008»
13 years 9 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi