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https://mlg.eng.cam.ac.uk/pub/pdf/GhaHin00a.pdf13 Feb 2023: LETTER Communicated by Volker Tresp. Variational Learning for Switching State-Space Models. Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. We introduce a new statistical -
1471-2105-10-242.fm
https://mlg.eng.cam.ac.uk/pub/pdf/SavHelXuetal09.pdf13 Feb 2023: However, instead ofdistance, the algorithm uses a statistical hypothesis test tochoose which clusters to merge. ... multiple time series. Journal of Business and Economic Statistics2008, 26:78-89. 13. -
A Choice Model with Infinitely Many Latent Features Dilan ...
https://mlg.eng.cam.ac.uk/pub/pdf/GoeJaeRas06.pdf13 Feb 2023: 5. Discussion. EBA is a choice model which has correspondencesto several models in economics and psychology. ... New York:Wiley. McFadden, D. (2000). Economic choice. In T. Persson(Ed.), Nobel lectures, Economics 1996-2000, 330–364. -
A Generative Model of Vector Space Semantics
https://mlg.eng.cam.ac.uk/pub/pdf/AndGha13a.pdf13 Feb 2023: It is also able to cor-rectly map the vector associated with “economic. ... Test vector economic development(“economic development”) economic development. economic development. Random vector vital turningfurther obligationsbad negotiations. -
A Nonparametric Bayesian Model for Multiple Clustering…
https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf13 Feb 2023: We test our method to see whetherwe can find these two clustering views. ... This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on. -
Bayesian Knowledge Corroboration with LogicalRules and User Feedback…
https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf13 Feb 2023: They report results on various datasets one of whichis a sixth-grade biology test dataset. ... This test consists of 15 yes-no questionswhich can be viewed as statements in our setting. -
Bayesian Learning forData-Efficient Control Rowan McAllister…
https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf13 Feb 2023: We test our method on the cartpole swing-up task, which involvesnonlinear dynamics and requires nonlinear control. ... Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power), -
Bayesian nonparametrics andthe probabilistic approach to modelling…
https://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf13 Feb 2023: Moreover, at test time, the DPM always allows for the possibility thata new test point (e.g. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Finally, the fourth conversion yields an algorithm for synthesising program source code from input-output examples that is able to solve test problems 1-3 orders of magnitude faster than a ... Versa substitutes optimization at test time with forward -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: In this work, we test how well-automated methods can detect conversational behaviors and replace an expert human annotator. ... Abstract: Domain generalization (DG) seeks predictors which perform well on unseen test distributions by leveraging data drawn
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