Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Teh, Y. W."'
We propose a Bayesian nonparametric model to infer population admixture, extending the Hierarchical Dirichlet Process to allow for correlation between loci due to Linkage Disequilibrium. Given multilocus genotype data from a sample of individuals, th
Externí odkaz:
http://arxiv.org/abs/1503.08278
Publikováno v:
Scopus-Elsevier
The policy gradients of the expected return objective can react slowly to rare rewards. Yet, in some cases agents may wish to emphasize the low or high returns regardless of their probability. Borrowing from the economics and control literature, we r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fea5f3b4726fcdc67e2c1f78f2258f98
http://arxiv.org/abs/1703.05820
http://arxiv.org/abs/1703.05820
Publikováno v:
Scopus-Elsevier
Latent Dirichlet analysis, or topic modeling, is a flexible latent variable framework for modeling high-dimensional sparse count data. Various learning algorithms have been developed in recent years, including collapsed Gibbs sampling, variational in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd89bb807c0fe9eb69983912335877d3
https://ora.ox.ac.uk/objects/uuid:c2fd0c46-213d-4dce-a6ae-4b0693ee761e
https://ora.ox.ac.uk/objects/uuid:c2fd0c46-213d-4dce-a6ae-4b0693ee761e
Publikováno v:
Scopus-Elsevier
We propose a semiparametric model for regression and classification problems involving multiple response variables. The model makes use of a set of Gaussian processes to model the relationship to the inputs in a nonparametric fashion. Conditional dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41db3a442e1d0dbebb395650ab690925
https://ora.ox.ac.uk/objects/uuid:b3db5a43-e1b9-4e2b-b94b-9a5123cd280e
https://ora.ox.ac.uk/objects/uuid:b3db5a43-e1b9-4e2b-b94b-9a5123cd280e
Publikováno v:
Scopus-Elsevier
We address the challenge of assessing conservation of gene expression in complex, non-homogeneous datasets. Recent studies have demonstrated the success of probabilistic models in studying the evolution of gene expression in simple eukaryotic organis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::012b4cb0d9d55091546c8723af5b8d3a
https://ora.ox.ac.uk/objects/uuid:0fe516f4-16d9-4081-9b2e-ce76bd6347e0
https://ora.ox.ac.uk/objects/uuid:0fe516f4-16d9-4081-9b2e-ce76bd6347e0
We describe a new algorithm, Relaxed Survey Propagation (RSP), for finding MAP configurations in Markov random fields. We compare its performance with state-of-the-art algorithms including the max-product belief propagation, its sequential tree-rewei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f233e28524fac3ea9ae637b83ad82c4b
https://ora.ox.ac.uk/objects/uuid:51d39a91-99ad-40a6-bbb8-7df51b3eedbb
https://ora.ox.ac.uk/objects/uuid:51d39a91-99ad-40a6-bbb8-7df51b3eedbb
This paper concerns the introduction of a new Markov Chain Monte Carlo scheme for posterior sampling in Bayesian nonparametric mixture models with priors that belong to the general Poisson-Kingman class. We present a novel compact way of representing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83ce71f5708f626fa6785711e5c0586e
http://arxiv.org/abs/1509.07376
http://arxiv.org/abs/1509.07376