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1 - 10 of 14 search results for Economics test |u:mobile-systems.cl.cam.ac.uk where 1 match all words and 13 match some words.
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  2. Uncertainty-informed On-device PersonalisationUsing Early Exit…

    https://mobile-systems.cl.cam.ac.uk/papers/eusipco23.pdf
    22 Jul 2023: The training time was measured using theonboard clock. We perform 10 runs (with the whole test set)and average the results. ... Zimmerman, and P. H. A, Cloud Economics:Principles, Costs, and Benefits. Springer, London, 2010, pp.
  3. Results that match 1 of 2 words

  4. Uncertainty Estimation with Data Augmentationfor Active Learning…

    https://mobile-systems.cl.cam.ac.uk/papers/embc23-vavaroutas.pdf
    19 May 2023: The mean ofthe accuracy values resulting from these datasets and theoriginal test dataset is significantly more robust. ... Ver-. cauteren, “Test-Time Augmentation with Uncertainty Estimation forDeep Learning-Based Medical Image Segmentation,” MIDL,
  5. Uncertainty Quantification in Federated Learning for Heterogeneous…

    https://mobile-systems.cl.cam.ac.uk/papers/FL-KDD23.pdf
    14 Jul 2023: 101. 102. 103. Num. ber. of S. ampl. esTrain Test. (b) Client 2. ... 30. 40. Num. ber. of S. ampl. es. Train Test. (a) Client 1.
  6. Embracing the Imaginary:Deep Complex-valued Networks for Heart Murmur …

    https://mobile-systems.cl.cam.ac.uk/papers/cinc23.pdf
    2 Nov 2023: On the patient-independent test set ofthe PhysioNet 2022 Challenge dataset, a complex-valuedtreatment of two neural network architectures — includ-ing HMS-Net, the winning model of PhysioNet 2022 —leads to ... This discrepancywith the reported
  7. Modeling with Homophily Driven Heterogeneous Data in Gossip Learning…

    https://mobile-systems.cl.cam.ac.uk/papers/ijcai23.pdf
    1 Jun 2023: 0 100 200 300# Global rounds. 0.20.40.60.81.0. Test. acc. urac. y. ... 0 50 100 150# Global rounds. 0.20.40.60.81.0. Test. acc. urac. y.
  8. Detecting Foot Strikes during Running with Earbuds

    https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-dong.pdf
    2 May 2024: test, where only one user is iteratively selected for testingwhile the remaining subjects are for training. ... 4.2 Comparison of Features: MFCC vs. FFT. 4.3 Individual Performance. 4.4 Performance of Leave-one-out Test.
  9. Proceedings of Machine Learning Research 219:1–26, 2023 Machine…

    https://mobile-systems.cl.cam.ac.uk/papers/mlhc23.pdf
    21 Jul 2023: Alternatively, submaximalVO2max tests (Gonzales et al., 2020b) have been proposed to capture fitness levels. ... b) Right figure shows the predictiondistribution of the BBVS test set from different methods.
  10. Emotion Recognition from Speech Signals byMel-Spectrogram and a…

    https://mobile-systems.cl.cam.ac.uk/papers/EMBC24.pdf
    2 May 2024: Unlike the RAVDESS dataset, where theemotions are expressed by actors, a variety of mood inductionprocedures are used in the DEMoS dataset followed by aperception test, making it more authentic.
  11. Conditional Neural ODE Processes for Individual Disease Progression…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd23.pdf
    1 Jun 2023: The. smaller the -Γ𝑝𝑏(), the better the predicted disease progressionmatching the test labels. ... Only the initial audio sample is used asthe context vector during the test phase.
  12. IMChew: Chewing Analysis using Earphone Inertial Measurement Units

    https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-yang.pdf
    2 May 2024: 5.1 Chewing DetectionTable 2 presents the overall performance of different classi-fiers for chewing detection when evaluated with an 80/20train-test split. ... Nonetheless, oursolution performs well under both evaluation methods. (a) 80/20 Train-test

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