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» A Cell Assembly Model of Sequential Memory
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JMLR
2002
133views more  JMLR 2002»
13 years 5 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
AIRS
2010
Springer
13 years 3 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
BMCBI
2007
159views more  BMCBI 2007»
13 years 5 months ago
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype
Background: A finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level. Results: We ...
Israel Mark Martínez-Pérez, Gong Zha...