output
19932026
most citedSpreading and vanishing in nonlinear diffusion problems with free boundaries

217 citations

Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025★ 11 cited

Learning-based estimation of cattle weight gain and its influencing factors

Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath +2

Many cattle farmers still depend on manual methods to measure the live weight gain of cattle at set intervals, which is time consuming, labour intensive, and stressful for both the…

cs.LG2023★ 21 cited

Meta-learning in healthcare: A survey

Alireza Rafiei, Ronald Moore, Sina Jahromi +2

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the model's capabilities by employing prior knowledge and experience. A meta-learning paradi…

cs.LG2021★ 5 cited

A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements

Peter N. Loxley, Ka-Wai Cheung

An informative measurement is the most efficient way to gain information about an unknown state. We present a first-principles derivation of a general-purpose dynamic programming a…

cs.LG2020★ 63 cited

Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation

Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3

Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…

cs.LG2020★ 1 cited

A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs

Peter N. Loxley

Sparse codes in neuroscience have been suggested to offer certain computational advantages over other neural representations of sensory data. To explore this viewpoint, a sparse co…