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» Learn .MT: A New Approach to Incremental Learning
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EUROSYS
2008
ACM
14 years 4 months ago
Documenting and automating collateral evolutions in linux device drivers
The internal libraries of Linux are evolving rapidly, to address new requirements and improve performance. These evolutions, however, entail a massive problem of collateral evolut...
Yoann Padioleau, Julia L. Lawall, René Rydh...
CEC
2007
IEEE
14 years 1 months ago
Concerning the potential of evolutionary support vector machines
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...
AIHC
2007
Springer
14 years 1 months ago
Affect Detection and an Automated Improvisational AI Actor in E-Drama
Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our w...
Li Zhang, Marco Gillies, John A. Barnden, Robert J...
ISVC
2007
Springer
14 years 1 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 1 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl