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NN
2011
Springer
348views Neural Networks» more  NN 2011»
15 years 1 months ago
Tree-like hierarchical associative memory structures
In this letter we explore an alternative structural representation for Steinbuch-type binary associative memories. These networks offer very generous storage capacities (both asy...
João Sacramento, Andreas Wichert
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 6 days ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
AIIA
2003
Springer
15 years 12 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
WWW
2003
ACM
16 years 7 months ago
Distributed Indexing of the Web Using Migrating Crawlers
Due to the tremendous increase rate and the high change frequency of Web documents, maintaining an up-to-date index for searching purposes (search engines) is becoming a challenge...
Odysseas Papapetrou, Stavros Papastavrou, George S...
ECBS
2009
IEEE
120views Hardware» more  ECBS 2009»
16 years 1 months ago
Tuning Complex Sensornet Systems Using Principled Engineering Methods
Sensornet lifespan and utility is limited by the energy resources of individual motes. Network designers seek to maximise energy efficiency while maintaining acceptable Quality o...
Jonathan Tate, Iain Bate