Sciweavers

2638 search results - page 266 / 528
» Extracting Approximate Patterns
Sort
View
ICML
2004
IEEE
16 years 7 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
APPT
2005
Springer
16 years 3 days ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
ISPAN
1997
IEEE
15 years 10 months ago
RMESH Algorithms for Parallel String Matching
Abstract- String matching problem received much attention over the years due to its importance in various applications such as text/file comparison, DNA sequencing, search engines,...
Hsi-Chieh Lee, Fikret Erçal
NIPS
2008
15 years 8 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
16 years 6 months ago
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Approximating the joint data distribution of a multi-dimensional data set through a compact and accurate histogram synopsis is a fundamental problem arising in numerous practical ...
Amol Deshpande, Minos N. Garofalakis, Rajeev Rasto...