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Bayesian HC research talk
https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect4s.ppt27 Jan 2023: Unlabelled Test Images: 22,000 images. For each training and test image we can store a vector of 240 binary color and texture features. ... about 0.2 sec on this laptop to query 22,000 test images. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect04.pdf19 Nov 2023: Moralisation test for conditional independence. (Lauritzen et al, 1990; Cowell et al, 1999)A. ... directed mixed graphs). • Marginal and conditional independence• Markov boundaries and separation tests for independence• Plate notation. -
AA06.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GirRasQuiMur03.pdf13 Feb 2023: the density of the actual true test output under the Gaussianpredictive distribution and use its negative log as a measure of loss. ... The training and test data consist of pH values (outputsy of the process) anda control input signal (u). -
Sparse Gaussian Processes using Pseudo-inputs Edward Snelson Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips05spgp.pdf27 Jan 2023: Once the inversion is done, prediction isO(N ) for thepredictive mean andO(N 2) for the predictive variance per new test case. ... We have demonstrated a significant decrease in test error over the other methods for a givensmall pseudo/active set size. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect06.pdf19 Nov 2023: Constraint-Based Learning: Use statistical tests of marginal and conditionalindependence. Find the set of DAGs whose d-separation relations match theresults of conditional independence tests. -
paper.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08.pdf13 Feb 2023: Figure 1 shows the training points, test points, decision boundary from GPCand decision boundary from robust GPC. ... We created 10 pairs of training and test sets by randomlydividing the whole data set into two. -
Large Scale Nonparametric Bayesian Inference:Data Parallelisation in…
https://mlg.eng.cam.ac.uk/pub/pdf/DosKnoMohGha09.pdf13 Feb 2023: Initially, a largenumber of features are added, which provides improvements in the test likelihood. ... Table 2 summarises the data and shows thatall approaches had similar test-likelihood performance. -
Bayesian Classifier Combination Zoubin Ghahramani and Hyun-Chul Kim∗…
https://mlg.eng.cam.ac.uk/zoubin/papers/GhaKim03.pdf27 Jan 2023: Satellitehas a training set of 4435, a test set of 2000 with 6 classes and 36 variables. ... UCI digit data set has a trainingset of 3823, a test set of 1797, 10 classes and 64 variables. -
4F13 Machine Learning: Coursework #4: Reinforcement Learning Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework4.pdf19 Nov 2023: Test yourvalueIteration algorithm. -
LNCS 5342 - Outlier Robust Gaussian Process Classification
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08a.pdf13 Feb 2023: Figure 1 shows the training points, test points, decision boundary from GPCand decision boundary from robust GPC. ... We created 10 pairs of training and test sets by randomlydividing the whole data set into two.
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