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IJCNN
2000
IEEE
15 years 7 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
132
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 6 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
138
Voted
SBRN
2008
IEEE
15 years 9 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
129
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Patterns, Hypergraphs and Embodied General Intelligence
—It is proposed that the creation of Artificial General Intelligence (AGI) at the human level and ultimately beyond is a problem addressable via integrating computer science algo...
Ben Goertzel
110
Voted
IJCNN
2006
IEEE
15 years 8 months ago
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition
- This paper presents a variable node-to-node-link neural network (VN2 NN) trained by real-coded genetic algorithm (RCGA). The VN2 NN exhibits a node-to-node relationship in the hi...
Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam