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ISNN
2004
Springer
15 years 6 months ago
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang
94
Voted
UAI
2004
15 years 2 months ago
A New Characterization of Probabilities in Bayesian Networks
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Lenhart K. Schubert
IWUC
2004
15 years 2 months ago
Mobile Agent System for Web Services Integration in Pervasive Networks
Web Services integration using languages such as BPEL is to be applied not only on the Internet but also in pervasive networks using wireless mobile devices. However, in such a net...
Fuyuki Ishikawa, Nobukazu Yoshioka, Yasuyuki Tahar...
ISPA
2004
Springer
15 years 6 months ago
Asynchronous Document Dissemination in Dynamic Ad Hoc Networks
Abstract This paper presents a document-oriented model for information dissemination in dynamic ad hoc networks, such as those composed of highly mobile and volatile communicating ...
Frédéric Guidec, Hervé Roussa...
119
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IJIT
2004
15 years 2 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...