364 search results - page 20 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
110
Voted
CONNECTION
2004
15 years 2 months ago
2004
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
90
Voted
TNN
2008
15 years 2 months ago
2008
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
125
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
118
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
119
Voted
TNN
1998
15 years 2 months ago
1998
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...