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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
15 years 10 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
15 years 10 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
15 years 10 months ago
Collaborative Tag Recommendations
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...
Leandro Balby Marinho, Lars Schmidt-Thieme
MSN
2007
Springer
151views Sensor Networks» more  MSN 2007»
15 years 10 months ago
Applications and Performances of Extended TTDDs in Large-Scale Wireless Sensor Networks
There are many applications of large scale sensor networks in which both the stimulus and the data collection stations are mobile (i.e. animal tracking, battlefield chasing). TTDD ...
Hong Zhou, Lu Jin, Zhongwei Zhang, Hesham H. Ali, ...
AVSS
2006
IEEE
15 years 10 months ago
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu