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» Genetic Algorithms for Dynamic Test Data Generation
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ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
15 years 4 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
BMCBI
2011
14 years 1 months ago
The Proteogenomic Mapping Tool
Background: High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the...
William S. Sanders, Nan Wang, Susan M. Bridges, Br...
INFFUS
2008
175views more  INFFUS 2008»
14 years 9 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
ICPR
2008
IEEE
15 years 11 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...