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GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
13 years 10 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
NIPS
2008
13 years 6 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
IWMM
2010
Springer
140views Hardware» more  IWMM 2010»
13 years 6 months ago
Parametric inference of memory requirements for garbage collected languages
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...
Elvira Albert, Samir Genaim, Miguel Gómez-Z...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 5 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
SIGMOD
2010
ACM
187views Database» more  SIGMOD 2010»
13 years 9 months ago
PIQL: a performance insightful query language
Large-scale websites are increasingly moving from relational databases to distributed key-value stores for high request rate, low latency workloads. Often this move is motivated n...
Michael Armbrust, Stephen Tu, Armando Fox, Michael...