776 search results - page 35 / 156 » Applying the i* Framework to the Development of Data Warehou... |
BMCBI
2005
13 years 7 months ago
2005
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
TNN
2008
13 years 7 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
KDD
2001
ACM
14 years 8 months ago
2001
ACM
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
ICSE
2003
IEEE-ACM
14 years 7 months ago
2003
IEEE-ACM
This work compares and contrasts two component frameworks: (1) the web-centric Java 2 Enterprise Edition (J2EE) framework and (2) the FIPA-compliant multi-agent system (MAS). FIPA...