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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 7 days ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 7 days ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 7 days ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
EDBT
2006
ACM
191views Database» more  EDBT 2006»
15 years 12 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
ETRA
2010
ACM
169views Biometrics» more  ETRA 2010»
15 years 6 months ago
Eye and pointer coordination in search and selection tasks
Selecting a graphical item by pointing with a computer mouse is a ubiquitous task in many graphical user interfaces. Several techniques have been suggested to facilitate this task...
Hans-Joachim Bieg, Lewis L. Chuang, Roland W. Flem...