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JMLR
2002
133views more  JMLR 2002»
15 years 3 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...
131
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PKDD
2010
Springer
150views Data Mining» more  PKDD 2010»
15 years 2 months ago
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
TMC
2010
100views more  TMC 2010»
15 years 2 months ago
Optimal Relay Station Placement in Broadband Wireless Access Networks
—To satisfy the stringent requirement of capacity enhancement in wireless networks, cooperative relaying is envisioned as one of the most effective solutions. In this paper, we s...
Bin Lin, Pin-Han Ho, Liang-Liang Xie, Xuemin (Sher...
4OR
2010
148views more  4OR 2010»
15 years 2 months ago
Point-to-point shortest paths on dynamic time-dependent road networks
This a summary of the author's PhD thesis supervised by Leo Liberti, Philippe Baptiste and Daniel Krob and defended on 18 June 2009 at Ecole Polytechnique, Palaiseau, France. ...
Giacomo Nannicini
EVOW
2009
Springer
15 years 1 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...