To tackle these issues, we present a sparse feedforward deep neural architecture for encoding and decoding the structural connectome of the human brain. We use a sparsely connected element-wise ...

text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models ...

Currently, LLMs use a framework called autoregressive decoding, in which text is generated one token at a time, and the previous text is used to generate the next sequence. However, this is clearly ...

In partial fulfilment of the requirements for the degree of Master of Arts. Department of Geography. // Thesis (M.A.)--University of Alberta, 1984. // DOA: ...

Ancient text deciphering and translation are essential to know about past civilizations, but standard linguistic approaches do not work because contextual details are missing and language patterns ...