ACL
2012
12 years 1 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
ITNG
2010
IEEE
13 years 10 months ago
2010
IEEE
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
PRL
1998
13 years 11 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
NN
2002
Springer
13 years 11 months ago
2002
Springer
A new neural network architecture (PART) and the resulting algorithm are proposed to
IJON
1998
13 years 11 months ago
1998
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
IAT
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
BMVC
1998
14 years 24 days ago
1998
In this paper a fast method of selecting a neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed method of selecting both input ...
AAAI
2004
14 years 25 days ago
2004
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
ETD2000
1995
14 years 3 months ago
1995
This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a...
ICES
2001
Springer
14 years 3 months ago
2001
Springer
The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...