tailieunhanh - Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning

Max margin learning is an extremely powerful idea for learning features with auxiliary tasks, and then use these features to solve tasks with few data. The goal of this lecture is for you to learn: Transfer, multi-task, and multi-instance learning; harnessing auxiliary tasks to learn features; formulations of multi-task learning;. | UNIVERSITY OF OXFORD foSgMjg. .fits Max-margin learning Nando de Freitas . - t Outline of the lecture Max margin learning is an extremely powerful idea for learning features with auxiliary tasks and then use these features to solve tasks with few data. The goal of this lecture is for you to learn Transfer multi-task and multi-instance learning Harnessing auxiliary tasks to learn features Matchings Preferences Corruption Formulations of multi-task learning Applications Cross-lingual embeddings Relation learning Question answering Memory networks Embedding discrete objects in metric spaces Code Words Formulae Logical expressions Symbols DNA sequences Ji A VAC. o ClAcoAiwa irectof oC teros uJith fix 1- t w zA i. CcAiwc. X-1 JoccA to Kev Vv t 0 c cv b A J_fi .

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