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WEBI
2009
Springer
16 years 1 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
16 years 1 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
16 years 25 days ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
CVPR
2010
IEEE
16 years 10 hour ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
ASWEC
2000
IEEE
15 years 11 months ago
Formal Requirements Engineering: Learning from the Students
Formal methods are becoming increasingly important in many areas of software development and should be incorporated in the teaching of software engineering. Requirements capture i...
J. Paul Gibson