Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...
Semantic fingerprints for intent-based Python code search — 50–100x faster index lookups, 10–50x fewer tokens for AI agents. Symdex-100 generates compact, structured metadata ("Cyphers") for every ...
Abstract: Visual place recognition (VPR) represents a significant challenge within the domains of computer vision and autonomous vehicles. Due to the dynamic nature of real-world environments, ...
Abstract: Sentence similarity computation is one of the important foundations of Natural Language Processing(NLP). Latent Semantic Analysis(LSA) is a corpus-based method that evaluates the similarity ...
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