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SOFSEM
2004
Springer
14 years 2 months ago
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Matej Makula, Michal Cernanský, Lubica Benu...
INFOCOM
2002
IEEE
14 years 1 months ago
Adaptive Load Sharing for Network Processors
—A novel scheme for processing packets in a router is presented that provides load sharing among multiple network processors distributed within the router. It is complemented by ...
Lukas Kencl, Jean-Yves Le Boudec
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 6 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
SIGMOD
2004
ACM
153views Database» more  SIGMOD 2004»
14 years 2 months ago
Spatially-decaying aggregation over a network: model and algorithms
Data items are often associated with a location in which they are present or collected, and their relevance or in uence decays with their distance. Aggregate values over such data...
Edith Cohen, Haim Kaplan
PEPM
1999
ACM
14 years 27 days ago
Certifying Compilation and Run-Time Code Generation
A certifying compiler takes a source language program and produces object code, as well as a certi cate" that can be used to verify that the object code satis es desirable pr...
Luke Hornof, Trevor Jim