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FGCS
2006
83views more  FGCS 2006»
13 years 7 months ago
Memory-efficient Kronecker algorithms with applications to the modelling of parallel systems
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
Anne Benoit, Brigitte Plateau, William J. Stewart
EXPERT
2007
76views more  EXPERT 2007»
13 years 7 months ago
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
Prediction is an important component in a variety of domains. Intelligent systems that can predict future events are better enabled to make more informed, and therefore more relia...
Karthik Gopalratnam, Diane J. Cook
NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 7 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
SIGECOM
2008
ACM
92views ECommerce» more  SIGECOM 2008»
13 years 7 months ago
Strong regularities in online peer production
Online peer production systems have enabled people to coactively create, share, classify, and rate content on an unprecedented scale. This paper describes strong macroscopic regul...
Dennis M. Wilkinson
PR
2006
98views more  PR 2006»
13 years 7 months ago
Rule-based cleanup of on-line English ink notes
Recently, many pen-based devices have enabled people to input digital ink naturally. Often, there is smear and correction when writing. This not only makes the document dirty and ...
Zhouchen Lin, Rongrong Wang, Heung-Yeung Shum