Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.
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How to run R-style linear regressions in Python the easy way
If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Samba is a simple yet powerful hybrid model with an unlimited context length. Its architecture is frustratingly simple: Samba = Mamba + MLP + Sliding Window Attention + MLP stacking at the layer level ...
Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...
Abstract: In this letter, we devise a frequency, distance, and altitude-dependent, analytical model for THz band path loss. This model is obtained from cascaded regression of transmittance data from ...
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...
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