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WWW
2008
ACM
16 years 13 days ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ISPW
2009
IEEE
15 years 6 months ago
On the Relative Merits of Software Reuse
Abstract. Using process simulation and AI search methods, we compare software reuse against other possible changes to a project. such as reducing functionality or improving the ski...
Andres S. Orrego, Tim Menzies, Oussama El-Rawas
ICFEM
2009
Springer
15 years 4 months ago
An Empirical Study of Structural Constraint Solving Techniques
Structural constraint solving allows finding object graphs that satisfy given constraints, thereby enabling software reliability tasks, such as systematic testing and error recove...
Junaid Haroon Siddiqui, Sarfraz Khurshid
AVSS
2009
IEEE
14 years 9 months ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 7 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li