Brian Recktenwall-Calvet ⁽³⁾

My previous projects exploring quantum feature space left me with more questions than answers. Recently I was given the opportunity to learn and run experiments with Quantum Machine Learning mentor Carlos Kuhn, the Research Chair of University of Canberra's Open Source Institute. This opportunity was made…

In an earlier project exploring early probabilistic methods of language processing, it became clear how massive the feature-space for word-vectors is. Modern needs to process large volumes of natural language don't scale well using early probabilistic methods for modeling language. In this project I am…

This is part of a project on extracting word representations using statistical language modeling techniques. This part includes rudimentary corpus preprocessing, tokenization, vectorization, and inferences within the vector space model. The corpus is a public domain dataset of a million news headlines from the Australian…