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Imbalanced Learning

  • by ghost

Last week we said goodbye to Learning to Rank, by discussing Thurstone’s models, the Plackett-Luce model, ListNet and the LeToR test.

During today’s meeting we introduced the problem of Imbalanced Learning, and discussed some initial ideas on how to deal with imbalanced classes in Machine Learning. We will be concentrating on this topic for the next few weeks and learn about measures for imbalanced classification and algorithm-level approaches to the problem.

If you’re interested in exploring Imbalanced Learning with us, we’ll be meeting as usual on Thursdays, 4:50PM in 423WE.

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Learning to Rank

  • by ghost

Pierwsze spotkanie nowego semestru już za nami!

Zaczęliśmy omawianie nowego bloku tematycznego – Learning to Rank. Przypomnieliśmy sobie najważniejsze algorytmy używane przy tworzeniu wyszukiwarek, przedyskutowaliśmy różne miary jakości wyszukiwania i zaczęliśmy zastanawiać się nad tym, jak stosować metody uczenia maszynowego w świecie Information Retrieval.

Ciąg dalszy w przyszłym tygodniu – wyjątkowo widzimy się w poniedziałek, o 16:50 (w czwartek 1.11 spotkania nie będzie).

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Learning to Rank

  • by ghost

We started off the new semester with an exciting new topic  – Learning to Rank! During our first meeting we reviewed basic Information Retrieval models, discussed search engine performance measures and started exploring how Machine Learning techniques can be applied in the construction of ranking models for Information Retrieval systems.

This semester GHOST meetings are scheduled for 4:50PM each Thursday, but next week is an exception – instead of Thursday (All Saints’ Day), we meet on Monday 29th October, 4:50PM, as usual in 423WE.

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