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ICML
2004
IEEE
14 years 8 months ago
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
Hill-climbing search is the most commonly used search algorithm in ILP systems because it permits the generation of theories in short running times. However, a well known drawback...
Lourdes Peña Castillo, Stefan Wrobel
WIDM
2004
ACM
14 years 1 months ago
WISE-cluster: clustering e-commerce search engines automatically
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
CEC
2010
IEEE
13 years 7 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...
CN
1998
74views more  CN 1998»
13 years 7 months ago
Generating Advanced Query Interfaces
With the increasing popularity of the World Wide Web, the number of information sources providing access to various types of data has increased considerably. While simple data ret...
Dongwon Lee, Divesh Srivastava, Dimitra Vista
IJCV
2008
157views more  IJCV 2008»
13 years 7 months ago
Pairwise Matching of 3D Fragments Using Cluster Trees
Abstract We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented point...
Simon Winkelbach, Friedrich M. Wahl