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  1. Results that match 1 of 2 words

  2. Learning with Multiple Labels

    https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf
    13 Feb 2023: Class Name ecoli wine pendigit iris glass. 1 extra label Naive 17.3% 10% 14.2% 18.5% 24.9% by random.
  3. doi:10.1016/j.patrec.2005.09.027

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf
    13 Feb 2023: Martinez, A., Benavente, R., 1998. The ar face database. CVC TechnicalReport #24. ... Pattern Anal. Mach. Intell. 24 (5), 707–711. Neal, R., 1997. Monte Carlo implementation of Gaussian process modelsfor Bayesian regression and classification.
  4. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward
  5. 1 Graph Kernels by Spectral Transforms Xiaojin Zhu Jaz ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ssl-book.pdf
    27 Jan 2023: maxµ vec(T )>M µ (1.24). subject to ||M µ|| 1 (1.25). ... 0.27 (86) 0.24 (92) 0.15 0.18 0.40 (85) 0.02 0.12 0.09.
  6. 13 Feb 2023: The resulting predictive log-likelihood forthe five folds were -7.18, -7.15, -7.09, -7.24, -7.31 for thebi-directed model. ... For the LVM trained by maximumlikelihood and EM, the results were -10.78, -10.24, -9.68, -10.04, -10.28, showing a sizeable
  7. Factored Contextual Policy Search with Bayesian Optimization Robert…

    https://mlg.eng.cam.ac.uk/pub/pdf/PinKarKupetal19.pdf
    13 Feb 2023: For the Gym tasks, weemploy an extension [24] of the DMP framework [12] toefficiently generate goal-directed trajectories. ... 16, no. 5, pp. 1190–1208, 1995. [24] J. Kober, K. Mülling, O.
  8. The Indian Buffet Process and Extensions Zoubin Ghahramani University …

    https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf
    27 Jan 2023: 21). Given s, the distribution of Z becomes:. p( Z | x , s, µ ( 1 : ) ) p( Z | x , µ ( 1 : ) ) 1µ I (0 s µ ) (24).
  9. Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…

    https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf
    13 Feb 2023: 15 85.38 3.42 80.66 2.12MSRCORID 45.80 4.26 51.79 2.73 52.59 2.93 40.24 3.11. ... In:. NIPS. (2010)24. Leen, G.: Context assisted information extraction. PhD thesis, University of the.
  10. Variational Inference for Nonparametric Multiple Clustering Yue Guan, …

    https://mlg.eng.cam.ac.uk/pub/pdf/GuaDyNiuetal10.pdf
    13 Feb 2023: The first 100 eigenvectors retains a total of 99.24% ofthe overall variance. ... Journalon Machine Learning Research, 3:583–617, 2002. [24] M. Turk and A.
  11. Augmented Attribute Representations Viktoriia Sharmanska1, Novi…

    https://mlg.eng.cam.ac.uk/pub/pdf/ShaQuaLam12.pdf
    13 Feb 2023: There are 50 animals classesin this dataset. The dataset also contains semantic information in the form of an85-dimensional Osherson’s [24] attribute vector for each animal class. ... In: CVPR. (2010) 3027–3034. 24. Osherson, D.N., Stern, J., Wilkie,

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