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129 results
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3 weeks ago
Aleksandr Aravkin, Associate Professor of Applied Mathematics at the University of Washington, gave a presentation in the ...
11 views
2 weeks ago
Logistic Regression is one of the most important algorithms in machine learning for binary classification problems. This video ...
501 views
1 day ago
John Lafferty Carnegie Mellon University February 20, 2007 Center for Speech and Language Processing, Johns Hopkins ...
12 days ago
Title: An Automated Statistician which learns Bayesian nonparametric models of time series data Speakers: Date: 16th Jan 2014 ...
9 days ago
La régression par crête à noyau, ou Kernel Ridge Regression (KRR), est une méthode d'apprentissage automatique qui combine ...
14 views
STSW01 | Prof. Alessandro Rudi | Falkon: fast and optimal kernel method for large scale machine learning Speaker: Professor ...
Learning more about MoE routing as Nadaraya–Watson regression and proposes a zero-cost FFN-style kernel-inspired router ...
82 views
5 days ago
Title: Kernel-based contrast functions for sufficient dimension reduction Speaker: Professor Michael Jordan (University of ...
2 views
Title: Peter Alexander Speaker: Professor Brett Day (University of Exeter) Date: 17th Jul 2019 - 10:00 to 11:00 🗓️ Event: (EBD) ...
Title: L1-regularisation, motif regression and ChIP-on-chip data analysis Speaker: Date: 2nd Apr 2008 - 10:00 to 11:00 🗓️ Event: ...
Title: Generalised gaussian process functional regression model Speaker: Dr Jian Qing Shi (Newcastle University) Date: 26th Jun ...
Lecture 16 from UChicago's Mathematical Foundations of Machine Learning course. k-means Clustering. Course website and ...
163 views
STSW04 | Dr. Francis Bach | Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple ...
Watch #Linux #Kernel Dev Fix Fix #BigEndian #DRM #GPU #Driver #Bugs #Ad: You can support my work at: ...
118,066 views
Title: Benign Overfitting in Linear and Nonlinear Settings Speaker: Professor Peter Bartlett (University of California, Berkeley) ...
5 views
STSW01 | Prof. Lorenzo Rosasco | Optimal and efficient learning with random features Speaker: Professor Lorenzo Rosasco ...
MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024 Instructor: Stefan Andreev View the complete course: ...
2,105 views
Learn more: ...
6,084 views
