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Solving sparse linear systems of equations over finite fields using bit-flipping algorithm
Let Fq be the finite field with q elements. We give an algorithm for solving sparse linear systems of equations over Fq when the coefficient matrix of the system has a specific structure, here calledExpand
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On solving the SPL problem using the concept of probability flux
The Stochastic Point Location (SPL) problem Oommen is a fundamental learning problem that has recently found a lot of research attention. SPL can be summarized as searching for an unknown point in anExpand
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Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling theExpand
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Neural network associative memories with local coding
In this paper the approach is to embed coding techniques into neural networks in order to increase their performance as associative memories in the presence of partial erasures. The motivation comesExpand
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Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation
The Stochastic Point Location (SPL) problem introduced by Oommen [7] can be summarized as searching for an unknown point in the interval under a possibly faulty feedback. The search is performed viaExpand
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Nested-Clique Network Model of Neural Associative Memory
Clique-based neural associative memories introduced by Gripon and Berrou (GB), have been shown to have good performance, and in our previous work we improved the learning capacity and retrieval rateExpand
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Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution
Abruptions to the communication infrastructure might occur occasionally, where manual intervention by dedicated personnel is needed to fix the interruptions, restoring communication abilities.Expand
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Clique-Based Neural Associative Memories with Local Coding and Precoding
Techniques from coding theory are able to improve the efficiency of neuroinspired and neural associative memories by forcing some construction and constraints on the network. In this letter, theExpand
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On the Burst Erasure Efficiency of Array LDPC Codes
In this paper a family of LDPC codes based on the shortened and superposed array LDPC codes is proposed for burst erasure channels. The design of constructions is based on identifying and analyzingExpand