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» Evaluating Adaptive Problem Selection
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KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 9 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
CIKM
2009
Springer
14 years 3 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
IPPS
1997
IEEE
14 years 27 days ago
Control Schemes in a Generalized Utility for Parallel Branch-and-Bound Algorithms
Branch-and-bound algorithms are general methods applicable to various combinatorial optimization problems and parallelization is one of the most hopeful methods to improve these a...
Yuji Shinano, Kenichi Harada, Ryuichi Hirabayashi
CIKM
2008
Springer
13 years 10 months ago
To swing or not to swing: learning when (not) to advertise
Web textual advertising can be interpreted as a search problem over the corpus of ads available for display in a particular context. In contrast to conventional information retrie...
Andrei Z. Broder, Massimiliano Ciaramita, Marcus F...
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
13 years 10 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...