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» Refactoring Process Models in Large Process Repositories
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CORR
2007
Springer
194views Education» more  CORR 2007»
15 years 2 months ago
Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for DCTs and DSTs
Abstract—This paper presents a systematic methodology to derive and classify fast algorithms for linear transforms. The approach is based on the algebraic signal processing theor...
Markus Püschel, José M. F. Moura
132
Voted
OWLED
2007
15 years 4 months ago
Use of OWL for Describing Stream Processing Components to Enable Automatic Composition
Stream Processing Applications analyze large volumes of streaming data in real-time. These applications, consist of data sources, which produce raw streams, and processing elements...
Zhen Liu, Anand Ranganathan, Anton Riabov
166
Voted
BMCBI
2007
194views more  BMCBI 2007»
15 years 2 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
122
Voted
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
15 years 8 months ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 3 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler