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WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
14 years 2 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 7 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SIGMOD
2009
ACM
202views Database» more  SIGMOD 2009»
16 years 6 months ago
ZStream: a cost-based query processor for adaptively detecting composite events
Composite (or Complex) event processing (CEP) systems search sequences of incoming events for occurrences of userspecified event patterns. Recently, they have gained more attentio...
Yuan Mei, Samuel Madden
QOSA
2009
Springer
16 years 1 months ago
Adaptive Application Composition in Quantum Chemistry
Abstract. Component interfaces, as advanced by the Common Component Architecture (CCA), enable easy access to complex software packages for high-performance scientific computing. ...
Li Li, Joseph P. Kenny, Meng-Shiou Wu, Kevin A. Hu...