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30 Oct 2019: The data-driven approach learnshuman behaviour from training data acquired from human test users – another MachineLearning problem in itself.

30 Oct 2019: 3.3.2 Some analysis. Although the programmatically generated sentences are considerably more predictable andless noisy than real life instructions, we believe they provide enough variety to test theperformance of our

30 Oct 2019: In the end, we test their performance on MNISTdataset and the Mixflow model not only achieves the best log likelihood but also producereasonable images compared to state-of-art DCGAN generation.

6 Nov 2019: 354.2a Validation accuracy. 354.2b Training loss. 35. 4.3 ROC curve and confusion matrix for the binary classifier usingthe test set.

30 Oct 2019: Improving Sample Efficiency forGradient-based Policy Optimisation;. with an Application to Structured PolicyFunctions. Sihui Wang. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy

6 Nov 2019: p(y) = N(y; 0,Kn,n s 2noiseI), (2.13). and the predictive mean and variance at test x are given by. ... and K,n is the matrix formed by evaluating the kernel function at pairs formed bytaking a single test point and a single training point.

18 Nov 2019: Therefore, It is worthwhile to investigate the stopping criteria of the expectedimprovement.After some tests on the decisions made by the expected improvement, it is observed thatit always begin with an

18 Nov 2019: In other words, for a set of test points for which we want predictions, thekernel is used to construct a covariance matrix for the respective function values at thosepoints. ... Also, given that a GP has N observations and we wantto compute the posterior

30 Oct 2019: Besides the SDS management, the tool kit also providesa large set of domains and the possibility to use a simulated user in order to test the model.As part of this

6 Nov 2019: a) Fidelity test for fake phone aa[2] (b) Fidelity test for fake phone aa[3]. ... Table 1: Top1, Top3 and Top5 Classification Accuracy. PhoneGenerated fake data Test set data.