Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...
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While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Great White Sharks Have The Best Counter Shading our mission White Shark Ocean are a passionate group of shark enthusiasts with a wide range of skills that have come together to give a glimpse into ...
ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
Abstract: This work proposes a variable switching frequency scheme for a flying capacitor multilevel (FCML) converter in dc-ac operation to better utilize the output inductor for its rated ...
In 1958, while the rest of the computing world was busy teaching machines to think in ones and zeros like obedient little digital soldiers, a group of Soviet engineers looked at binary logic and said, ...