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IJCNN
2006
IEEE
16 years 12 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
15 years 12 months 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...
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
ICPPW
2000
IEEE
15 years 10 months ago
A Practical Realization of Parallel Disks
Several models of parallel disks are found in the literature. These models have been proposed to alleviate the I/O bottleneck arising in handling voluminous data. These models hav...
Sanguthevar Rajasekaran, Xiao-ming Jin
FODO
1998
Springer
242views Algorithms» more  FODO 1998»
15 years 10 months ago
Optimizing OID Indexing Cost in Temporal Object-Oriented Database Systems
In object-oriented database systems (OODB) with logical OIDs, an OID index (OIDX) is needed to map from OID to the physical location of the object. In a transaction time temporal ...
Kjetil Nørvåg, Kjell Bratbergsengen