Abstract: Permutation codes are extensively studied because of applications such as frequency-shift keying modulation for power line communication (PLC). In PLC ...
Current state-of-the-art synchrony-based models encode object bindings with complex-valued activations and compute with real-valued weights in feedforward architectures. We argue for the computational ...
Abstract: The best-known algorithm for the decoding of low-density parity-check (LDPC) codes is the sum-product algorithm (SPA). The SPA is a message-passing algorithm on a graphical model called a ...
The primary challenge in large-scale machine learning is scalability. Traditional algorithms may struggle to cope with the sheer volume of data, resulting in increased computational time and resource ...
CS Grad Student at UAH, Former Data Scientist, The World Bank -- views, content my own and not of my employers. CS Grad Student at UAH, Former Data Scientist, The World Bank -- views, content my own ...
In this guide you will learn step-by-step how to contribute to the Arcane Algorithm Archive (AAA). It seems to be quite long, but since it includes a lot of images and consists of small steps, it's ...
ABSTRACT: The maximum weighted matching problem in bipartite graphs is one of the classic combinatorial optimization problems, and arises in many different applications. Ordered binary decision ...
The Viterbi Algorithm, the elegant 41-year-old logical tool for rapidly eliminating dead end possibilities in reception of digital data, has a new application to go alongside its ubiquitous daily use ...
BACKGROUND: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clustering. A linear ...
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