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» Learning Rules from Distributed Data
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COLT
2010
Springer
15 years 17 days ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
SOSP
2007
ACM
15 years 11 months ago
/*icomment: bugs or bad comments?*/
Commenting source code has long been a common practice in software development. Compared to source code, comments are more direct, descriptive and easy-to-understand. Comments and...
Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
142
Voted
WWW
2009
ACM
16 years 3 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
FCCM
2004
IEEE
96views VLSI» more  FCCM 2004»
15 years 6 months ago
Pre-Decoded CAMs for Efficient and High-Speed NIDS Pattern Matching
In this paper we advocate the use of pre-decoding for CAM-based pattern matching. We implement an FPGA based sub-system for NIDS (Snort) pattern matching using a combination of te...
Ioannis Sourdis, Dionisios N. Pnevmatikatos
CIB
2004
57views more  CIB 2004»
15 years 2 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...