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NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 9 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
TNN
1998
111views more  TNN 1998»
13 years 9 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
AAAI
2011
12 years 9 months ago
Exploiting Phase Transition in Latent Networks for Clustering
In this paper, we model the pair-wise similarities of a set of documents as a weighted network with a single cutoff parameter. Such a network can be thought of an ensemble of unwe...
Vahed Qazvinian, Dragomir R. Radev
WER
2007
Springer
14 years 3 months ago
Evolving Use Case Maps as a Scenario and Workflow Description Language
Since 1996, the core Use Case Map (UCM) notation has remained remarkably stable. As the structure and intent of workflow and scenario languages are very similar, UCMs have been ap...
Gunter Mussbacher
AAAI
2006
13 years 11 months ago
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment
This paper is concerned with the problem of structured data extraction from Web pages. The objective of the research is to automatically segment data records in a page, extract da...
Yanhong Zhai, Bing Liu