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1 - 11 of 11 search results for `news stories` |u:mlg.eng.cam.ac.uk
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  2. 3F3: Signal and Pattern Processing Lecture 4: Clustering Zoubin ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect4.pdf
    19 Nov 2023: Examples:. • cluster news stories into topics. • cluster genes by similar function. •
  3. 27 Jan 2023: This is a collection of data from the Topic Detectionand Tracking (TDT) project, containing news stories from a variety of media. ... The collection is broken up intodocument sets,'' each containing stories from a particular source.
  4. A Probabilistic Model for Online Document Clustering with Application …

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf
    13 Feb 2023: Here we are inter-ested in novelty detection in the text domain, where we want to identify the earliest reportof every new event in a sequence of news stories. ... The objective of the novelty detection task is to detect the earliest reportfor each event
  5. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Web Images Groups News Froogle more ». Search Advanced Search Preferences. ... Examples:. • cluster news stories into topics. • cluster genes by similar function. •
  6. Bayesian HC research talk

    https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect4s.ppt
    27 Jan 2023: images, music, documents, websites, publications, proteins,. news stories, customer profiles, products, medical records, …. or any other type of item one might want to query. ….
  7. grasshopper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GolZhuVanAnd07.pdf
    13 Feb 2023: This dataset con-tains 30 document sets, each with an average of 10documents about a news event. ... Tasks 4a and 4b exploredcross-lingual summarization. These datasets consistof Arabic-to-English translations of news stories.The documents in Task 4a are
  8. A Probabilistic Model for Online DocumentClustering with Application…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf
    27 Jan 2023: Here we are inter-ested in novelty detection in the text domain, where we want to identify the earliest reportof every new event in a sequence of news stories. ... The objective of the novelty detection task is to detect the earliest reportfor each event
  9. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,
  10. Bayesian Modelling Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect1bayes.pdf
    27 Jan 2023: a mixture of 6 Gaussians) can yield unreasonable inferencesand predictions. • For many kinds of data, the number of clusters might grow over time: clustersof news stories or emails, classes of objects,
  11. 13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [2022. James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel,
  12. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference

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