3096 search results - page 56 / 620 » Theory and Use of the EM Algorithm |
113
click to vote
ICONIP
2007
15 years 3 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
107
click to vote
TSP
2008
15 years 1 months ago
2008
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
122
click to vote
EMS
2008
IEEE
15 years 8 months ago
2008
IEEE
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
122
click to vote
ICDM
2007
IEEE
15 years 7 months ago
2007
IEEE
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
128
Voted
KDD
2006
ACM
16 years 1 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...