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» Kernel Methods for Pattern Analysis
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EWSA
2006
Springer
15 years 10 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»
15 years 6 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»
15 years 1 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 11 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 11 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