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» Early Exit Optimizations for Additive Machine Learned Rankin...
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WSDM
2010
ACM
129views Data Mining» more  WSDM 2010»
14 years 2 months ago
Early Exit Optimizations for Additive Machine Learned Ranking Systems
Berkant Barla Cambazoglu, Hugo Zaragoza, Olivier C...
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 5 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 5 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...