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EAAI
2006
123views more  EAAI 2006»
15 years 7 months ago
Imitation learning with spiking neural networks and real-world devices
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
Harald Burgsteiner
SAB
2010
Springer
187views Optimization» more  SAB 2010»
15 years 5 months ago
Learning Robot-Environment Interaction Using Echo State Networks
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
Mohamed Oubbati, Bahram Kord, Günther Palm
ACL
2012
13 years 9 months ago
Learning Better Rule Extraction with Translation Span Alignment
This paper presents an unsupervised approach to learning translation span alignments from parallel data that improves syntactic rule extraction by deleting spurious word alignment...
Jingbo Zhu, Tong Xiao, Chunliang Zhang
PDP
2009
IEEE
16 years 2 months ago
Effects of Job and Task Placement on Parallel Scientific Applications Performance
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...
ICCCN
2007
IEEE
16 years 1 months ago
Performance of 802.11b/g in the Interference Limited Regime
Signal to interference plus noise ratio, SINR, is one of the main factors that affects the quality of wireless communication. While the impact of white Gaussian noise on a wireles...
Vinay Sridhara, Hweechul Shin, Stephan Bohacek