Huffman encoding, and custom data compression techniques. An implementation of advanced graph algorithms and data structures, including efficient priority queues, maps, Bloom filters, breadth-first ...

Fortunately, encoding categorical data efficiently helps enhance the performance of machine learning models. In this beginner’s guide, we dive into the different techniques for encoding ...

By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications. This ...

Moreover, the star-shaped representation can easily be arranged in the form of an inverted index, which enables the application of different inverted list encoding techniques for compression.

Other recent work aims to use LLMs instead of graph-structured data, but it ignores some of the core problems ... in graph problems by experimenting with different graph encoding techniques. While ...

This research explores the integration of quantum data embedding techniques into classical machine learning ... We explore various classical-to-quantum mapping methods, ranging from basis encoding, ...

as they are all produced from the same input data. Thus, the analysis presented here also represents a guideline for future development of algorithms and encoding/decoding techniques for integrated ...