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» Extensions of recurrent neural network language model
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 10 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
ICTAI
2008
IEEE
14 years 5 months ago
Neural Network Language Models for Translation with Limited Data
In this paper we present how to estimate a continuous space Language Model with a Neural Network to be used in a Statistical Machine Translation system. We report results for an I...
Maxim Khalilov, José A. R. Fonollosa, Franc...
ICASSP
2011
IEEE
13 years 2 months ago
Structured Output Layer neural network language model
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...
Hai Son Le, Ilya Oparin, Alexandre Allauzen, Jean-...
IJCAI
2007
14 years 6 days ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
DSS
2007
98views more  DSS 2007»
13 years 10 months ago
Modelling uncertain positive and negative reasons in decision aiding
The use of positive and negative reasons in inference and decision aiding is a recurrent issue of investigation as far as the type of formal language to use within a DSS is concer...
Meltem Öztürk, Alexis Tsoukiàs