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» Learning to generalize for complex selection tasks
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SRDS
2003
IEEE
14 years 28 days ago
Group Communication Protocols under Errors
Group communication protocols constitute a basic building block for highly dependable distributed applications. Designing and correctly implementing a group communication system (...
Claudio Basile, Long Wang, Zbigniew Kalbarczyk, Ra...
MM
2003
ACM
145views Multimedia» more  MM 2003»
14 years 28 days ago
Proscenium: a framework for spatio-temporal video editing
We present an approach to video editing where movie sequences are treated as spatio-temporal volumes that can be sheered and warped under user control. This simple capability enab...
Eric P. Bennett, Leonard McMillan
ISB
2002
140views more  ISB 2002»
13 years 7 months ago
Computer system "Gene Discovery" for promoter structure analysis
Data Mining and Knowledge Discovery techniques proved to be efficient tools for variety of complex tasks in biology including DNA research. This paper presents implementation of th...
Eugenii E. Vityaev, Yuri L. Orlov, Oleg V. Vishnev...
IJCNN
2006
IEEE
14 years 1 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 2 months ago
Boosting Relational Sequence Alignments
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
Andreas Karwath, Kristian Kersting, Niels Landwehr