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02:55:09 Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4	Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4 picsc research computing network image things kind input model training text networks lot layer filter output filters features weights function learning bit representations From Andrea Rubinstein 0 likes 2 plays Date January 19th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
01:02:11 Hero, Alfred "Rate-Optimal… Hero, Alfred "Rate-Optimal Meta-Learning" May 15, 2018	Hero, Alfred "Rate-Optimal Meta-Learning" May 15, 2018 PCTS "Bridging Mathematical Optimization, Information Theory and Data Science" pcts alfred hero bridging mathematical optimization information theory and data science captions_12_17_2020 error divergence function distributions class performance density probability densities rates estimator distance points estimate learning sample weights complexity experiments estimators From Broadcast Broadcast Center Staff 0 likes 41 plays Date May 15th, 2018 Speaker Alfred Hero Department PCTS Location 407 Jadwin Hall
32:53 Wu, Yihong "Recovering a Hidden Hamiltonian… Wu, Yihong "Recovering a Hidden Hamiltonian Cycle via Linear Programming" May 14, 2018	Wu, Yihong "Recovering a Hidden Hamiltonian Cycle via Linear Programming" May 14, 2018 PCTS "Bridging Mathematical Optimization,Information Theory and Data Science" pcts bridging mathematical optimization information theory and data science yihong wu captions_12_17_2020 cycle problem things matrix graph solution cycles edge constraint edges linear lp threshold probability weights gap tsp talk difference truth From Broadcast Broadcast Center Staff 0 likes 110 plays Date May 14th, 2018 Speaker Yihong Wu Department PCTS Location 407 Jadwin