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» Modularizing error recovery
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SSPR
2004
Springer
14 years 25 days ago
Bounds for the Average Generalization Error of the Mixture of Experts Neural Network
Abstract. In this paper we derive an upper bound for the average-case generalization error of the mixture of experts modular neural network, based on an average-case generalization...
Luís A. Alexandre, Aurélio C. Campil...
ACL
2010
13 years 5 months ago
The Impact of Interpretation Problems on Tutorial Dialogue
Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We...
Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
DATE
2005
IEEE
154views Hardware» more  DATE 2005»
14 years 1 months ago
Top-Down Design of a Low-Power Multi-Channel 2.5-Gbit/s/Channel Gated Oscillator Clock-Recovery Circuit
We present a complete top-down design of a low-power multi-channel clock recovery circuit based on gated current-controlled oscillators. The flow includes several tools and method...
Paul Muller, Armin Tajalli, Seyed Mojtaba Atarodi,...
DSD
2010
IEEE
149views Hardware» more  DSD 2010»
13 years 5 months ago
Low Latency Recovery from Transient Faults for Pipelined Processor Architectures
Abstract--Recent technology trends have made radiationinduced soft errors a growing threat to the reliability of microprocessors, a problem previously only known to the aerospace i...
Marcus Jeitler, Jakob Lechner
SP
2007
IEEE
14 years 1 months ago
Using Rescue Points to Navigate Software Recovery
We present a new technique that enables software recovery in legacy applications by retrofitting exception-handling capabilities, error virtualization using rescue points. We int...
Stelios Sidiroglou, Oren Laadan, Angelos D. Keromy...