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TNN
2008
177views more  TNN 2008»
15 years 6 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
175
Voted
PPSN
1992
Springer
15 years 10 months ago
Structure Evolution and Incomplete Induction
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Reinhard Lohmann
MICAI
2007
Springer
16 years 23 days ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
ICTAI
2005
IEEE
16 years 6 days ago
Motion Prediction in a High-Speed, Dynamic Environment
The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a ...
Yu Sheng, Yonghai Wu
ICAISC
2004
Springer
16 years 6 hour ago
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets
A task of a stock index prediction is presented in this paper. Several issues are considered. The data is gathered at the concerned stock market (NIKKEI) and two other markets (NAS...
Marcin Jaruszewicz, Jacek Mandziuk