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» A Modal Model of Memory
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IJCNN
2006
IEEE
16 years 23 days ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
PADS
2005
ACM
16 years 9 days ago
Seven-O'Clock: A New Distributed GVT Algorithm Using Network Atomic Operations
In this paper we introduce a new concept, network atomic operations (NAOs) to create a zero-cost consistent cut. Using NAOs, we define a wall-clock-time driven GVT algorithm call...
David W. Bauer, Garrett R. Yaun, Christopher D. Ca...
185
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ICASSP
2011
IEEE
14 years 10 months ago
A comparative analysis of dynamic network decoding
The use of statically compiled search networks for ASR systems using huge vocabularies and complex language models often becomes challenging in terms of memory requirements. Dynam...
David Rybach, Ralf Schlüter, Hermann Ney
ICMI
2004
Springer
162views Biometrics» more  ICMI 2004»
16 years 3 days ago
When do we interact multimodally?: cognitive load and multimodal communication patterns
Mobile usage patterns often entail high and fluctuating levels of difficulty as well as dual tasking. One major theme explored in this research is whether a flexible multimodal in...
Sharon L. Oviatt, Rachel Coulston, Rebecca Lunsfor...
IPPS
2009
IEEE
16 years 1 months ago
Managing the construction and use of Functional Performance Models in a Grid environment
— This paper presents a tool, the Performance Model Manager, which addresses the complexity of the construction and management of a set of Functional Performance Models on a comp...
Robert Higgins, Alexey L. Lastovetsky