Abstract: This paper presents a new hybrid model, termed Random Long Short Term Memory (RLST), which merges the Random Forest Algorithm's effective feature selection capability with the Long ...
“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...
Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...
Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...
This study presents an enhanced RRT* algorithm for deep-sea mining vehicles, improving path planning and obstacle avoidance ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...
How Zomato and Swiggy use AI-driven pricing, commissions and platform fees to turn food delivery into a scalable revenue ...
Abstract: The optimal sensor combination has become a challenge in the multi-source navigation system due to the lack of measurement evaluation metric. In this paper, this problem is partially solved ...