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btc654.tex
https://mlg.eng.cam.ac.uk/pub/pdf/RavGhaWil02a.pdf13 Feb 2023: The RFP for a protein is defined as the fraction ofnegative test proteins (i.e. ... All of the models considered dramaticallyoutperform BLAST2 in this test of remote homologrecognition. -
A Comparison of Human and Agent Reinforcement Learningin Partially ...
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha11.pdf13 Feb 2023: Subjects were allowed to take breaksbetween tasks. To test our second hypothesis, we collected a fresh group ofsubjects. ... To test the second hypothesis,eight additional subjects were recruited from the Universityof Cambridge Engineering Department. -
4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…
https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework1.pdf19 Nov 2023: Show and comment on the fit and the hypers, and the predictions forthe test data. -
4F13 Machine Learning: Coursework #1: Gaussian Processes Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework1.pdf19 Nov 2023: Show and comment on the fit and the hypers, and the predictions forthe test data. -
4F13 Machine Learning: Coursework #1: Gaussian Processes Carl Edward…
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework1.pdf19 Nov 2023: Show and comment on the fit and the hypers, and the predictions forthe test data. -
The Supervised IBP: Neighbourhood PreservingInfinite Latent Feature…
https://mlg.eng.cam.ac.uk/pub/pdf/QuaShaKnoGha13.pdf13 Feb 2023: the in-ferred test latent variable z with respect to the train-ing latent variables Z. ... boldface is significant using a one-sided paired t-test with 95% confidence. -
1 Learning the Structure of Deep Sparse Graphical Models ...
https://mlg.eng.cam.ac.uk/pub/pdf/AdaWalGha10.pdf13 Feb 2023: c) (d)Figure 4: Olivetti faces a) Test images on the left, withreconstructed bottom halves on the right. ... Fig 4ashows six bottom-half test set reconstructions on theright, compared to the ground truth on the left. -
Archipelago: Nonparametric Bayesian Semi-Supervised Learning Ryan…
https://mlg.eng.cam.ac.uk/pub/pdf/AdaGha09.pdf13 Feb 2023: In almost all of our tests, Archipelagohad lower test classification error than the NCNM. ... Itimproves over mixture-based Bayesian approaches toSSL while still modeling complex density functions.In empirical tests, our model compares favorably -
chu05a.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf13 Feb 2023: 0.23370.0072. Table 2: Test results of the three algorithms using a Gaussian kernel. ... Figure 4 presents the test results of the three algorithms for different numbers ofselected genes. -
Dependent Indian Buffet Processes Sinead Williamson Peter Orbanz…
https://mlg.eng.cam.ac.uk/pub/pdf/WilOrbGha10.pdf13 Feb 2023: The data was randomly split into atraining set of 130 countries, and a test set of 14 coun-tries. ... For each test country, one randomly selectedindicator was observed, and the remainder held outfor prediction. -
Learning to Control a Low-Cost Manipulator usingData-Efficient…
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasFox11.pdf13 Feb 2023: Althoughdeposit failure feedback was not available to the learner, thedeposit success is good across 10 test trials and four differenttraining setups. ... Second, Tab. III reports the block-deposit success rates for10 test runs (and four different -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1718/cw/coursework3.pdf19 Nov 2023: c) For the Bayesian model, what is the log probability for the test document with ID 2001? ... Explainwhether, when computing the log probability of a test document, you would use the multinomial withor without the “combinatorial factor”. -
Modelling data
https://mlg.eng.cam.ac.uk/teaching/4f13/1718/modelling%20data.pdf19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). • ... make predictions on test cases• interpret the trained model, what insights is the model providing?• evaluate the accuracy of model. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/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. -
Bayesian Active Learning for Classification and Preference Learning…
https://mlg.eng.cam.ac.uk/pub/pdf/HouHusGha11a.pdf13 Feb 2023: open,hard problem as it would require expensive integration over possible test datadistributions. ... Acc. ura. cy. (l) pref: cpu. Figure 4: Test set classification accuracy on classification and preference learningdatasets. -
Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf13 Feb 2023: The quality of the inference was measured by eval-uating the test log-likelihood and the L2 reconstruc-tion error of the missing elements. ... tude faster per-iteration than the collapsed sampler.However, its test L2 reconstruction error and likeli-. -
4F13 Machine Learning: Coursework #4: Reinforcement Learning Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework4.pdf19 Nov 2023: Test yourvalueIteration algorithm. -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1213/cw/coursework3.pdf19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or without -
Modelling data
https://mlg.eng.cam.ac.uk/teaching/4f13/1617/modelling%20data.pdf19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). • ... make predictions on test cases• interpret the trained model, what insights is the model providing?• evaluate the accuracy of model. • -
1 Automatic Causal Discovery Richard Scheines Peter Spirtes, Clark ...
https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.pdf27 Jan 2023: z Can be applied to distributions where tests of conditional independence are known, but scores aren’t. ... No Yes. X3X2. X1 X3. X2. X1. Test. Test Conditions. 49. -
mlss2003_main.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras04.pdf13 Feb 2023: One of the primary goals computing the posterior is that it can be used tomake predictions for unseen test cases. ... n for thetraining means and analogously for the test means µ; for the covariance weuse Σ for training set covariances, Σ for -
Communicated by David MacKay Pruning from Adaptive Regularization…
https://mlg.eng.cam.ac.uk/pub/pdf/HanRas94.pdf13 Feb 2023: new test example for the specific student weight as estimated on the given training set. ... Complex Syst. 5, 603-643. Hansen, L. 1993. Stochastic linear learning: Exact test and training error aver- ages. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/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. -
LNCS 3355 - Analysis of Some Methods for Reduced Rank Gaussian…
https://mlg.eng.cam.ac.uk/pub/pdf/QuiRas05b.pdf13 Feb 2023: The total number of weights istherefore only augmented by one for any test case. ... We generate the test data from 1000 test inputsequally spaced between 12 and 12. -
paper8-lect0-13
https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect0.pdf27 Jan 2023: of belonging with the query set. The algorithm is very fast: about 0.2 sec on a laptop to query 22,000 test images. -
Accelerated sampling for the Indian Buffet Process
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf13 Feb 2023: The quality of the inference was measured by eval-uating the test log-likelihood and the L2 reconstruc-tion error of the missing elements. ... tude faster per-iteration than the collapsed sampler.However, its test L2 reconstruction error and likeli-. -
520 Factorial Mixture of Gaussians andthe Marginal Independence Model …
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09b.pdf13 Feb 2023: Each row corresponds to a test in a 5-fold cross-validation setup. ... test of ind. NIPS, 2007. G. Hinton. Training products of experts by minimizingcontrastive divergence. -
12 October N+Vs layout ok
https://mlg.eng.cam.ac.uk/zoubin/papers/NewsViews00.pdf27 Jan 2023: 1b). results from tests of this material in elec-trolyte cells have shown an acceptable life-time, with a competitive energy per unitweight at reasonable rates of charge and discharge. ... To test this possibility, Keller et al.1 stud-ied three weed -
Compact approximations to Bayesian predictive distributions Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05snelson.pdf27 Jan 2023: 0.27. 0.28. 0.29. 0.3. Number of random or best "samples". Test. ... 0.35. 0.36. 0.37. 0.38. Number of random or best "samples". Test. -
Gaussian Process Model Based Predictive Control
https://mlg.eng.cam.ac.uk/pub/pdf/KocMurRasGir04.pdf13 Feb 2023: 4. Fitting of theresponse for validation signal:• average absolute test error. AE = 0.1276 (14). • ... average squared test error. SE = 0.0373 (15). 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 100002. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf27 Jan 2023: We propose estimating the likelihood of a test sequence given a learned model using particlefiltering. ... 6Different particle initialisations apply if we do not assume that the test sequence immediatelyfollows the training sequence. -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework3.pdf19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or withoutthe -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1415/cw/coursework3.pdf19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or without -
868 State-Space Inference and Learning with Gaussian Processes Ryan…
https://mlg.eng.cam.ac.uk/pub/pdf/TurDeiRas10.pdf13 Feb 2023: For the real data set,however, GPDM was not tested due to the computa-tional demand when running on the large test dataset. ... 0,σ2ν. ), σ2ν = 0.1. 2. The results were produced using a pseudo training setof size N = 50, T = 100 training observations -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
Data-Efficient Reinforcement Learning inContinuous State-Action…
https://mlg.eng.cam.ac.uk/pub/pdf/McaRas17.pdf13 Feb 2023: We test ourmethod on the cartpole swing-up task, which involves nonlinear dynamics andrequires nonlinear control. ... We test our algorithm on the cartpole swing-up problem (Figure sec:app-cartpole). -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework3.pdf19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or withoutthe -
4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework3.pdf19 Nov 2023: What is theexpression for the predictive distribution? e) 10% : What is the log probability for the test document with ID 2001? ... Explain whether, whencomputing the log probability of a test document, you would use the multinomial with or without -
Assessing Approximations forGaussian Process Classification Malte…
https://mlg.eng.cam.ac.uk/pub/pdf/KusRas06.pdf13 Feb 2023: For a test inputx the. 4 0 4 80. 0.02. 0.04. ... og(σ. f). Information about test targets in bits. 2 3 4 5. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …
https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. • -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf13 Feb 2023: Our other two test systems are 100-node Boltzmannmachines and demonstrate learning where exact com-putation of Z(W ) is intractable3. ... 3These test sets are available online:http://www.gatsby.ucl.ac.uk/iam23/04blug/. 396 MURRAY & GHAHRAMANI UAI 2004. -
Message Passing Algorithms for Dirichlet Diffusion Trees
https://mlg.eng.cam.ac.uk/pub/pdf/KnoGaeGha11.pdf13 Feb 2023: time (min) time (min) time (min). Figure 6. Per instance test set performance on the macaque skull measurement data Adams et al. ... Score is the per test point, per dimensionlog predictive likelihood. Time is the average computationtime on the system -
1 Graph Kernels by Spectral Transforms Xiaojin Zhu Jaz ...
https://mlg.eng.cam.ac.uk/zoubin/papers/ssl-book.pdf27 Jan 2023: We restrict. ourselves to transduction, i.e., the unlabeled data Xu is also the test data. ... the results, we perform paired t-test on test accuracy. We highlight the best accu-. -
Mind Reading by Machine Learning
https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf13 Feb 2023: In trial i of the experiment, thesubject is presented a set of test stimuli Si and gives a re-sponse ri. ... Rows correspondto different conditions, using different training distributions, and different task types to test subjects’ -
Minor typos in eq. (11) and (12) corrected, 2004-12-08.in ...
https://mlg.eng.cam.ac.uk/pub/pdf/Ras00.pdf13 Feb 2023: Further tests on a variety of problems reveals that the infinite mixture model producesdensities whose generalisation is highly competitive with other commonly used methods.Current work is undertaken to explore performance -
BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf13 Feb 2023: The classical approach used in our previous work tests each‘gene–gene’ interaction by doing a hypothesis test compar-ing the bootstrap confidence interval of each parameter to. ... ALGORITHMVariational Bayesian learningThe classical approach tests -
Learning with Multiple Labels
https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf13 Feb 2023: However, since sometimes the prior knowledge on the class label can be misleading, we need to test the robustness of the 'EMPrior Model' to such noisy prior knowledge. ... We varied the number of added classes to test reliability of our algorithm. •
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