Abstract: Classic embedded feature selection algorithms are often divided in two large groups: tree-based algorithms and LASSO variants. Both approaches are focused in different aspects: while the ...

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Abstract: Near-infrared (NIR) spectroscopy has become an important analytical tool to perform rapid characterization of petroleum products due to its effectiveness and efficiency. However, NIR ...

This suite implements several model-free off-policy deep reinforcement learning algorithms for discrete and continuous action spaces in PyTorch. DQN Single Discrete Mnih et. al. 2015 Double DQN Single ...

Spread the love“`html The digital age has transformed the way we conduct business, with online reviews playing a pivotal role in shaping consumer perceptions. However, recent reports indicate a ...

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient ...

Ever wonder how SSDs last for years? Discover how wear leveling technology intelligently distributes data across memory cells ...

The team worked for 10 years to uncover the hidden brain-cell death process fueling several dementias, revealing a key new ...

Howdy, pards, here's a quick roundup of the week's science news: Moose, previously thought to be a transplanted species, are ...

Democratic candidates are generally popular, Times/Siena polling finds, but retaking the Senate remains a big challenge.

With students today using AI for their learning, teachers can actually teach how to use technology as a collaborative tutor to practise skills, explain complex algorithms, and provide instant feedback ...