Results 71 to 80 of about 603,409 (311)

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

, 2023
Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a distribution of tasks based on multi-task expert demonstrations, which is essential for general-purpose robots. Existing MIL algorithms suffer from low data efficiency and
Aggarwal, Vaneet, Tamboli, Dipesh, Chen, Jiayu, Lan, Tian   +3 more
core  

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Evaluation of multi-task learning in deep learning-based positioning classification of mandibular third molars

Scientific Reports, 2022
Pell and Gregory, and Winter’s classifications are frequently implemented to classify the mandibular third molars and are crucial for safe tooth extraction.
Shintaro Sukegawa, Tamamo Matsuyama, Futa Tanaka, Takeshi Hara, Kazumasa Yoshii, Katsusuke Yamashita, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Yoshihiko Furuki   +10 more
doaj   +1 more source

Latent Multi-Task Architecture Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
Multi-task learning (MTL) allows deep neural networks to learn from related tasks by sharing parameters with other networks. In practice, however, MTL involves searching an enormous space of possible parameter sharing architectures to find (a) the layers or subspaces that benefit from sharing, (b) the appropriate amount of sharing, and (c) the ...
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard   +3 more
openaire   +4 more sources

Origins of the Monitoring, Evaluation and Learning, Communities of Practice (CoP) & Task Force on Indicators

, 2022
Origins of the Monitoring, Evaluation and Learning, Communities of Practice (CoP) & Task Force on ...
CGIAR Indicator Task Force
core  

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Multi-Task Learning by Multi-Wave Optical Diffractive Network

, 2020
Recently, there has been tremendous researches in Optical neural networks that could complete comparatively complex computation by optical characteristic with much more fewer dissipation than electrical networks.
Chunmin Liu, Jing Lia, Yafei Yuan, Jing Su   +3 more
core  

Gestalt-Based Action Segmentation for Robot Task Learning

, 2008
Pardowitz M, Haschke R, Steil JJ, Ritter H. Gestalt-Based Action Segmentation for Robot Task Learning. In: IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS).
J. Steil, R. Haschke, Ritter, Helge ; https://orcid.org/, H. Ritter, Haschke, Robert ; https://orcid.org/, Steil, Jochen J., Pardowitz, Michael, M. Pardowitz   +7 more
core   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning

Big Data Mining and Analytics
With the enhancement of data collection capabilities, massive streaming data have been accumulated in numerous application scenarios. Specifically, the issue of classifying data streams based on mobile sensors can be formalized as a multi-task multi-view
Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu   +6 more
doaj   +1 more source