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» Learning Weighted Automata
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NIPS
2008
13 years 11 months ago
Fitted Q-iteration by Advantage Weighted Regression
Recently, fitted Q-iteration (FQI) based methods have become more popular due to their increased sample efficiency, a more stable learning process and the higher quality of the re...
Gerhard Neumann, Jan Peters
TNN
2010
176views Management» more  TNN 2010»
13 years 4 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
ITICSE
2004
ACM
14 years 3 months ago
Generation as method for explorative learning in computer science education
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advant...
Andreas Kerren
COLT
2004
Springer
14 years 1 months ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont
FUIN
2010
114views more  FUIN 2010»
13 years 4 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...