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IJCNN
2000
IEEE
15 years 11 months ago
Incremental Active Learning with Bias Reduction
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
Masashi Sugiyama, Hidemitsu Ogawa
218
Voted
ESA
1999
Springer
148views Algorithms» more  ESA 1999»
15 years 11 months ago
Approximation Schemes for Scheduling on Uniformly Related and Identical Parallel Machines
We give a polynomial approximation scheme for the problem of scheduling on uniformly related parallel machines for a large class of objective functions that depend only on the mac...
Leah Epstein, Jiri Sgall
EP
1998
Springer
15 years 11 months ago
A DTD Extension for Document Structure Recognition
This paper deals with the representation of document models used in the field of document recognition. A novel formalism called generalized n-gram is presented, which is shown to b...
Rolf Brugger, Frédéric Bapst, Rolf I...
CC
1994
Springer
15 years 11 months ago
Flow Grammars - a Flow Analysis Methodology
: Flow grammars provide a new mechanism for modelling control flow in flow analyzers and code optimizers. Existing methods for representing control flow are inadequate in terms of ...
James S. Uhl, R. Nigel Horspool
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
15 years 11 months ago
Efficient and robust communication topologies for distributed decision making in networked systems
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
John S. Baras, Pedram Hovareshti