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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 12 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
13 years 9 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
ATAL
2005
Springer
14 years 1 months ago
A multiagent system manages collaboration in emergent processes
Emergent processes are non-routine, collaborative business processes whose execution is guided by the knowledge that emerges during a process instance. In so far as the process go...
John K. Debenham
INFOCOM
2008
IEEE
14 years 2 months ago
Distributed Operator Placement and Data Caching in Large-Scale Sensor Networks
Abstract—Recent advances in computer technology and wireless communications have enabled the emergence of stream-based sensor networks. In such sensor networks, real-time data ar...
Lei Ying, Zhen Liu, Donald F. Towsley, Cathy H. Xi...
BTW
2007
Springer
154views Database» more  BTW 2007»
14 years 2 months ago
Integrating Query-Feedback Based Statistics into Informix Dynamic Server
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...