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11 - 20 of 43 search results for Cambridge Animal Alphabet |u:mlg.eng.cam.ac.uk where 8 match all words and 35 match some words.
  1. Results that match 2 of 3 words

  2. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: In this framework itis also natural to allow the alphabet of emitted symbols to be infinite—consider, for example, symbols being possible words appearing in En-glish text. ... InAdvances in Neural Information. Processing Systems 12, Cambridge, MA, 2000.
  3. Prediction on Spike DataUsing Kernel Algorithms Jan Eichhorn, Andreas …

    https://mlg.eng.cam.ac.uk/pub/pdf/EicTolZieetal04.pdf
    13 Feb 2023: In addition, the problems are not necessarily stationary, the distributions can changeover time, and depend heavily on the individual animal. ... 8] B. Schölkopf and A. J. Smola. Learning with Kernels. The MIT Press, Cambridge, Mas-sachusetts, 2002.
  4. The Supervised IBP: Neighbourhood PreservingInfinite Latent Feature…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuaShaKnoGha13.pdf
    13 Feb 2023: knowles84@gmail.com. Zoubin GhahramaniUniversity of Cambridge. Cambridge, UKzoubin@eng.cam.ac.uk. Abstract. We propose a probabilistic model to infersupervised latent variables in the Hammingspace from observed data. ... Data We use the Animals with
  5. Message Passing Algorithms for Dirichlet Diffusion Trees

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGaeGha11.pdf
    13 Feb 2023: University of Cambridge. Jurgen Van Gael jvangael@microsoft.com. Microsoft Research Cambridge. Zoubin Ghahramani zoubin@eng.cam.a.c.uk. ... Tree structure learnt over animals using 102 bi-nary features with the probit observation model.
  6. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 2023: In this framework itis also natural to allow the alphabet of emitted symbols to be infinite—consider, for example, symbols being possible words appearing in En-glish text. ... InAdvances in Neural Information. Processing Systems 12, Cambridge, MA, 2000.
  7. 368 A kernel method for unsupervised structured network inference ...

    https://mlg.eng.cam.ac.uk/pub/pdf/LipSteGhaetal09.pdf
    13 Feb 2023: MPI for Biol. CyberneticsMPI for Dev. BiologyTübingen, Germany. Oliver Stegleos252@cam.ac.uk. Cavendish LaboratoryUniversity of Cambridge. ... Cambridge, UK. Zoubin Ghahramanizoubin@eng.cam.ac.uk. Department of EngineeringUniversity of Cambridge.
  8. Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…

    https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf
    13 Feb 2023: 3 University of Cambridge, UK4 IST Austria (Institute of Science and Technology Austria), Klosterneuburg, AT. ... Many visual databases (e.g. Caltech101 [1], PASCAL VOC [2], Animals with Attributes [3], ImageNet [4]) have beencreated to support such quest
  9. Bayesian and L1 Approaches for Sparse Unsupervised Learning Shakir ...

    https://mlg.eng.cam.ac.uk/pub/pdf/MohHelGha12.pdf
    13 Feb 2023: The animal attributes dataset of Kemp and Tenenbaum (2008) consists of animalspecies with ecological and biological properties asfeatures. ... Cambridge Press, 2003. T. J. Mitchell and J. J. Beauchamp. Variable selectionin linear regression (with
  10. Mind Reading by Machine Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf
    13 Feb 2023: Ferenc Huszár (fh277@eng.cam.ac.uk)Computational and Biological Learning Lab, Dept Engineering, U Cambridge, Cambridge CB2 1PZ, UK. ... Máté Lengyel (m.lengyel@eng.cam.ac.uk)Computational and Biological Learning Lab, Dept Engineering, U Cambridge,
  11. Transparency: Motivations and Challenges? Adrian…

    https://mlg.eng.cam.ac.uk/adrian/transparency.pdf
    16 Jul 2024: Transparency: Motivations and Challenges? Adrian Weller1,2,3[0000000319157158]. 1 University of Cambridge, UK, adrian.weller@eng.cam.ac.uk2 The Alan Turing Institute, UK. ... Adaptive Computation and Machine Learning Series,The MIT Press, Cambridge, MA,

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