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» Combining Information using Hard Constraints
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
IEEECIT
2009
IEEE
15 years 4 months ago
Applying Collective Intelligence for Search Improvement on Thai Herbal Information
— Knowledge about herbal medicine can be contributed from experts in several cultures. With the conventional techniques, it is hard to find the way which the experts can build a ...
Verayuth Lertnattee, Sinthop Chomya, Thanaruk Thee...
IEEEARES
2008
IEEE
15 years 4 months ago
Intensive Programme on Information and Communication Security
IT Security is a problem that can only be addressed and taught holistically. Just as broad as the field of ICT itself, IT Security is an integral part of all network and software ...
Christian Schläger, Ludwig Fuchs, Günthe...
85
Voted
CP
2008
Springer
14 years 12 months ago
Exploiting Decomposition in Constraint Optimization Problems
Decomposition is a powerful technique for reducing the size of a backtracking search tree. However, when solving constraint optimization problems (COP's) the standard techniqu...
Matthew Kitching, Fahiem Bacchus
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 3 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng