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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 8 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
CODES
2007
IEEE
14 years 4 months ago
Event-based re-training of statistical contention models for heterogeneous multiprocessors
Embedded single-chip heterogeneous multiprocessor (SCHM) systems experience frequent system events such as task preemption, power-saving voltage/frequency scaling, or arrival of n...
Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
JUCS
2008
115views more  JUCS 2008»
13 years 10 months ago
Capturing Interaction Requirements in a Model Transformation Technology Based on MDA
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...
José Ignacio Panach, Sergio España, ...
BMCBI
2007
146views more  BMCBI 2007»
13 years 10 months ago
PubMed related articles: a probabilistic topic-based model for content similarity
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Jimmy J. Lin, W. John Wilbur
CIKM
2008
Springer
13 years 12 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai