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ICONIP
2004
13 years 7 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber
ICONIP
2004
13 years 7 months ago
Collaborative Agent Learning Using Neurocomputing
In this paper we investigate techniques to train an agent to accomplish certain tasks. Artificial Neural Networks will be the technique used to the train the agent. This paper will...
Saulat Farooque, Ajith Abraham, Lakhmi C. Jain
ICONIP
2004
13 years 7 months ago
A Neural Network Model for Trace Conditioning
We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
Tadashi Yamazaki, Shigeru Tanaka
ICONIP
2004
13 years 7 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
ICONIP
2004
13 years 7 months ago
Variational Information Maximization for Neural Coding
Abstract. Mutual Information (MI) is a long studied measure of coding efficiency, and many attempts to apply it to population coding have been made. However, this is a computationa...
Felix V. Agakov, David Barber