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Research paper

An Analysis of Reinforcement Learning for Malaria Control

Previous work on policy learning for Malaria control has often formulated the problem as an optimization problem assuming the objective function and the search space have a specific structure. The problem has been formulated as multi-armed bandits, contextual bandits and a Markov Decision Process in isolation. Furthermore, an emphasis is put on developing new algorithms specific to an instance of Malaria control, while ignoring a plethora of simpler and general algorithms in the literature. In this work, we formally study the formulation of Malaria control and present a comprehensive analysis of several formulations used in the literature. In

Makondo, Ndivhuwo, Folarin, Arinze Lawrence, Zitha, Simphiwe Nhlahla, Remy, Sekou Lionel
arXiv.org perpetual, non-exclusive licenseView resource
Research paper

Object detection for crabs in top-view seabed imagery

This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pascal VOC dataset. The model is an end-to-end object detection neural network based on a convolutional network base and a Long Short-Term Memory detector.

Velici, Vlad, Prügel-Bennett, Adam
Creative Commons Attribution Share Alike 4.0 InternationalView resource
Research paper

SEA-LION: Southeast Asian Languages in One Network

Research paper by Raymond Ng and collaborators. arXiv record dated 2025-10-30. Research area: Language technology.

Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xianbin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Wayne Lau, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William Chandra Tjhi, Erik Cambria, Leslie Teo
Research paper

Исследование и разработка метода машинного перевода для пары малоресурсных языков вьетнамский – кхмерский с использованием крупной языковой модели SEA-LION

Research paper by Фам Ван Ньян, published 2026 in Electronic Library of Peter the Great Polytechnic University. Research area: Natural Language Processing Techniques.

Фам Ван Ньян
Not specifiedView resource

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