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HYBRID
1998
Springer
13 years 9 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
CIBCB
2007
IEEE
13 years 12 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...
AI
2002
Springer
13 years 5 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
RAS
2002
168views more  RAS 2002»
13 years 5 months ago
Neural predictive control for a car-like mobile robot
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
Dongbing Gu, Huosheng Hu
GLOBECOM
2008
IEEE
14 years 2 days ago
Distributed Base Station Cooperation via Block-Diagonalization and Dual-Decomposition
Abstract—It has been recently shown that base station cooperation may yield great capacity improvement in downlink multiple antenna cellular networks. However, the proposed solut...
Yosia Hadisusanto, Lars Thiele, Volker Jungnickel