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#supervised — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #supervised, aggregated by home.social.

  1. #Teilautonomes #Fahren:

    #Tesla bringt #FSD erstmals nach #Europa

    Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.

    golem.de/news/teilautonomes-fa

  2. #Teilautonomes #Fahren:

    #Tesla bringt #FSD erstmals nach #Europa

    Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.

    golem.de/news/teilautonomes-fa

  3. #Teilautonomes #Fahren:

    #Tesla bringt #FSD erstmals nach #Europa

    Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.

    golem.de/news/teilautonomes-fa

  4. #Teilautonomes #Fahren:

    #Tesla bringt #FSD erstmals nach #Europa

    Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.

    golem.de/news/teilautonomes-fa

  5. #Teilautonomes #Fahren:

    #Tesla bringt #FSD erstmals nach #Europa

    Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.

    golem.de/news/teilautonomes-fa

  6. 'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich.

    jmlr.org/papers/v26/21-0241.ht

    #classifiers #supervised #quantification

  7. 'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.

    jmlr.org/papers/v26/23-1587.ht

    #supervised #annotated #annotate

  8. 'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.

    jmlr.org/papers/v26/23-1587.ht

    #supervised #annotated #annotate

  9. 'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.

    jmlr.org/papers/v26/23-1587.ht

    #supervised #annotated #annotate

  10. 'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.

    jmlr.org/papers/v26/23-1587.ht

    #supervised #annotated #annotate

  11. 'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.

    jmlr.org/papers/v26/23-1587.ht

    #supervised #annotated #annotate

  12. 'Optimizing Data Collection for Machine Learning', by Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law.

    jmlr.org/papers/v26/23-0292.ht

    #supervised #deep #collecting

  13. 'Supervised Learning with Evolving Tasks and Performance Guarantees', by Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano.

    jmlr.org/papers/v26/24-0343.ht

    #supervised #tasks #classification

  14. How long until investors and fans stop believing in bullshit? #Supervised #full #selfdriving my ass ... 😆
    'Musk said in 2022 that Tesla would mass-produce robotaxis by 2024. Before that, in 2019, he said that Tesla would have a million robotaxis on roads by 2020. Musk has promised that Tesla would solve full self-driving “next year” since at least 2016.'
    techcrunch.com/2024/12/31/elon

  15. 'Recursive Estimation of Conditional Kernel Mean Embeddings', by Ambrus Tamás, Balázs Csanád Csáji.

    jmlr.org/papers/v25/23-0168.ht

    #embeddings #supervised #estimation

  16. 'On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models', by Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu.

    jmlr.org/papers/v25/22-1024.ht

    #causal #causality #supervised

  17. Dear Friends #off AI (Artificial #Independence),
    As we know
    #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: ​:ablobcatgoogly:​
    #Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.

    #Fortunately we all have our off #switch of #choice available. ⏹️

  18. Dear Friends #off AI (Artificial #Independence),
    As we know
    #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: ​:ablobcatgoogly:​
    #Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.

    #Fortunately we all have our off #switch of #choice available. ⏹️

  19. Dear Friends #off AI (Artificial #Independence),
    As we know
    #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: ​:ablobcatgoogly:​
    #Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.

    #Fortunately we all have our off #switch of #choice available. ⏹️

  20. 'Semi-supervised Inference for Block-wise Missing Data without Imputation', by Shanshan Song, Yuanyuan Lin, Yong Zhou.

    jmlr.org/papers/v25/21-1504.ht

    #imputation #supervised #neuroimaging

  21. 'Distributed Estimation on Semi-Supervised Generalized Linear Model', by Jiyuan Tu, Weidong Liu, Xiaojun Mao.

    jmlr.org/papers/v25/22-0670.ht

    #supervised #distributed #estimation

  22. 'Sample-efficient Adversarial Imitation Learning', by Dahuin Jung, Hyungyu Lee, Sungroh Yoon.

    jmlr.org/papers/v25/23-0314.ht

    #imitation #adversarial #supervised

  23. 'Dimensionality Reduction and Wasserstein Stability for Kernel Regression', by Stephan Eckstein, Armin Iske, Mathias Trabs.

    jmlr.org/papers/v24/22-0303.ht

    #regression #pca #supervised

  24. 'Weisfeiler and Leman go Machine Learning: The Story so far', by Christopher Morris et al.

    jmlr.org/papers/v24/22-0240.ht

    #graphs #graph #supervised

  25. 'Fair Data Representation for Machine Learning at the Pareto Frontier', by Shizhou Xu, Thomas Strohmer.

    jmlr.org/papers/v24/22-0005.ht

    #wasserstein #supervised #fairness

  26. 'The Power of Contrast for Feature Learning: A Theoretical Analysis', by Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang.

    jmlr.org/papers/v24/21-1501.ht

    #autoencoders #supervised #generative

  27. 'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.

    jmlr.org/papers/v24/21-0187.ht

    #supervised #labeled #annotated

  28. 'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.

    jmlr.org/papers/v24/21-0187.ht

    #supervised #labeled #annotated

  29. 'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.

    jmlr.org/papers/v24/21-0187.ht

    #supervised #labeled #annotated

  30. 'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.

    jmlr.org/papers/v24/21-0187.ht

    #supervised #labeled #annotated

  31. 'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.

    jmlr.org/papers/v24/21-0187.ht

    #supervised #labeled #annotated

  32. #ITByte: Supervised learning (SL) is a machine learning paradigm for problems where the available data consists of labelled examples, meaning that each data point contains features and an associated label.

    Here is a brief introduction to #Supervised #MachineLearning.

    knowledgezone.co.in/posts/Supe