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The Dynamic Beamformer Ali Bahramisharif1,2,�, Marcel A.J. van…
https://mlg.eng.cam.ac.uk/pub/pdf/BahvanSchGha12.pdf13 Feb 2023: Corresponding author. The authors gratefully acknowledge the support of the Brain-Gain Smart Mix Programme of the Netherlands Ministry of Economic Affairs andthe Netherlands Ministry of Education, Culture and Science. -
Addressing Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html9 Jul 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters). -
Machine Learning 4f13 Lent 2013
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/19 Nov 2023: LECTURE SYLLABUS. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-paramtric probabilistic inference using Gaussian processes, 2) the TrueSkill ranking -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf19 Jun 2024: Prior work in economics, law, and political science dis-tinguishes between direct and indirect discrimination, sug-gesting that the “wrong” of direct discrimination (which weidentify with violating process fairness) should be ... In Univer-sity of -
Machine Learning 4f13 Lent 2008
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/19 Nov 2023: LECTURE SYLLABUS. Jan 18 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning. -
Machine Learning 4f13 Lent 2009
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/19 Nov 2023: LECTURE SYLLABUS. Jan 16 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning. -
Machine Learning 4f13 Lent 2012
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/19 Nov 2023: LECTURE SYLLABUS. This year, the exposition of the material will be centered around three specific machine learning areas: 1) supervised non-paramtric probabilistic inference using Gaussian processes, 2) the latent Dirichlet -
Healing the Relevance Vector Machine through Augmentation Carl Edward …
https://mlg.eng.cam.ac.uk/pub/pdf/RasQui05.pdf13 Feb 2023: 1978). He-donic prices and the demand for clean air.Journal of Environmental Economics & Man-agement, 5, 81–102. -
Machine Learning 4f13 Lent 2011
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/19 Nov 2023: LECTURE SYLLABUS. Jan 20 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning. -
Machine Learning 4f13 Lent 2010
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/19 Nov 2023: LECTURE SYLLABUS. Jan 14 . Introduction to Machine Learning(1L): review of probabilistic models, relation to coding terminology: Bayes rule, supervised, unsupervised and reinforcement learning.
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