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» Kernel Methods for Pattern Analysis
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EWSA
2006
Springer
15 years 1 months ago
Preserving Software Quality Characteristics from Requirements Analysis to Architectural Design
In this paper, we present a pattern-based software development method that preserves usability and security quality characteristics using a role-driven mapping of requirements anal...
Holger Schmidt, Ina Wentzlaff
BMCBI
2010
142views more  BMCBI 2010»
14 years 10 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
TNN
2011
200views more  TNN 2011»
14 years 4 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
ICDM
2003
IEEE
114views Data Mining» more  ICDM 2003»
15 years 3 months ago
Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis
A significant portion of knowledge discovery and data mining research focuses on finding patterns of interest in data. Once a pattern is found, it can be used to recognize satisfy...
Shou-de Lin, Hans Chalupsky
SLSFS
2005
Springer
15 years 3 months ago
Discrete Component Analysis
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Wray L. Buntine, Aleks Jakulin