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» Applying Conventional Testing Techniques for Class Testing
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KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 4 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
ICIP
2008
IEEE
15 years 11 months ago
Model-based compression of nonstationary landmark shape sequences
We have proposed a novel model-based compression technique for nonstationary landmark shape data extracted from video sequences. The main goal is to develop a technique for the co...
Samarjit Das, Namrata Vaswani
135
Voted
JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
BMCBI
2010
142views more  BMCBI 2010»
15 years 4 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
146
Voted
ICSE
2005
IEEE-ACM
16 years 4 months ago
Main effects screening: a distributed continuous quality assurance process for monitoring performance degradation in evolving so
Developers of highly configurable performanceintensive software systems often use a type of in-house performance-oriented "regression testing" to ensure that their modif...
Cemal Yilmaz, Arvind S. Krishna, Atif M. Memon, Ad...