Zobrazeno 1 - 10
of 55
pro vyhledávání: '"David S, Leslie"'
Publikováno v:
Signals, Vol 5, Iss 1, Pp 40-59 (2024)
We consider the challenge of detecting and clustering point and collective anomalies in streaming data that exhibit significant nonlinearities and seasonal structures. The challenge is motivated by detecting problems in a communications network, wher
Externí odkaz:
https://doaj.org/article/e62ffa92987d42f9bf739ffefb9dde72
Publikováno v:
Neurobiology of Disease, Vol 104, Iss , Pp 15-23 (2017)
Parkinson's disease (PD) is more commonly associated with its motor symptoms and the related degeneration of dopamine (DA) neurons. However, it is becoming increasingly clear that PD patients also display a wide range of non-motor symptoms, including
Externí odkaz:
https://doaj.org/article/a67a2826f0bd4fe8ba1b9b84a88b7e6a
Publikováno v:
Technometrics. 63:396-409
Functional linear regression is a widely used approach to model functional responses with respect to functional inputs. However, classical functional linear regression models can be severely affected by outliers. We therefore introduce a Fisher-consi
Autor:
David S. Leslie, Steven Perkins
Publikováno v:
Stochastic Systems, Vol 2, Iss 2, Pp 409-446 (2012)
The asymptotic pseudo-trajectory approach to stochastic approximation of Benaïm, Hofbauer and Sorin is extended for asynchronous stochastic approximations with a set-valued mean field. The asynchronicity of the process is incorporated into the mean
Externí odkaz:
https://doaj.org/article/43095c719a5844538e771c29acf008c3
Publikováno v:
Lancaster University-Pure
We consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurrent Neural Net recommender system that acts on time series of interactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f5354f0ab6329f90bef14656a5fd48
https://doi.org/10.21203/rs.3.rs-525958/v1
https://doi.org/10.21203/rs.3.rs-525958/v1
Autor:
Sofie Verrewaere, Simen Eide, Arnoldo Frigessi, Helge Jenssen, David S. Leslie, Joakim Rishaug
We present a novel recommender systems dataset that records the sequential interactions between users and an online marketplace. The users are sequentially presented with both recommendations and search results in the form of ranked lists of items, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ffe8f3a3a9e62c49771a53e9272849
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676636
ECML/PKDD (3)
ECML/PKDD (3)
We propose MUMBO, the first high-performing yet computationally efficient acquisition function for multi-task Bayesian optimization. Here, the challenge is to perform efficient optimization by evaluating low-cost functions somehow related to our true
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3bb3af21fef2f0c5d8870b174f4b1ae
https://doi.org/10.1007/978-3-030-67664-3_27
https://doi.org/10.1007/978-3-030-67664-3_27
Autor:
James Hutchison, Rachel Prudden, Amber Leeson, Vatsala Nundloll, Joanne A. Waller, David S. Leslie, Stefan Reis, Stuart Homann, Maria Angela Ferrario, Roger Street, Tony Hey, John Watkins, Will Simm, Massimo Vieno, Phil Jonathan, Lindsay Catherine Beevers, Malcolm McMillan, Chantal M. Huijbers, Lauren Thornton, Peter A. Henrys, Jordan Phillipson, Ross Towe, Harriet Fraser, Rob Fraser, Dino Sejdinovic, Joshua Vande Hey, Ada Dionescu, Lucy Bastin, Mike Brown, Sarah L. Dance, Rob Lamb, Faiza Samreen, Richard Bassett, Maria Salama, Gordon S. Blair, Simon Gardner, Liz Edwards, Vicky Pope, Oluwole Oyebamiji, Sophie Laurie, Maribel Isabel Borrajo
Publikováno v:
Patterns, Vol 2, Iss 1, Pp 100156-(2021)
Patterns
Blair, G S, Bassett, R, Bastin, L, Beevers, L, Borrajo, M I, Brown, M, Dance, S L, Dionescu, A, Edwards, L, Ferrario, M A, Fraser, R, Fraser, H, Gardner, S, Henrys, P, Hey, T, Homann, S, Huijbers, C, Hutchison, J, Jonathan, P, Lamb, R, Laurie, S, Leeson, A, Leslie, D, McMillan, M, Nundloll, V, Oyebamiji, O, Phillipson, J, Pope, V, Prudden, R, Reis, S, Salama, M, Samreen, F, Sejdinovic, D, Simm, W, Street, R, Thornton, L, Towe, R, Hey, J V, Vieno, M, Waller, J & Watkins, J 2021, ' The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord ', Patterns, vol. 2, no. 1, 100156 . https://doi.org/10.1016/j.patter.2020.100156
Patterns
Blair, G S, Bassett, R, Bastin, L, Beevers, L, Borrajo, M I, Brown, M, Dance, S L, Dionescu, A, Edwards, L, Ferrario, M A, Fraser, R, Fraser, H, Gardner, S, Henrys, P, Hey, T, Homann, S, Huijbers, C, Hutchison, J, Jonathan, P, Lamb, R, Laurie, S, Leeson, A, Leslie, D, McMillan, M, Nundloll, V, Oyebamiji, O, Phillipson, J, Pope, V, Prudden, R, Reis, S, Salama, M, Samreen, F, Sejdinovic, D, Simm, W, Street, R, Thornton, L, Towe, R, Hey, J V, Vieno, M, Waller, J & Watkins, J 2021, ' The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord ', Patterns, vol. 2, no. 1, 100156 . https://doi.org/10.1016/j.patter.2020.100156
Summary Digital technology is having a major impact on many areas of society, and there is equal opportunity for impact on science. This is particularly true in the environmental sciences as we seek to understand the complexities of the natural envir
Publikováno v:
Bulkley, G, Smith, S & leslie, D 2019, ' Equity Premium Forecasts with an Unknown Number of Structural Breaks ', Journal of Financial Econometrics . https://doi.org/10.1093/jjfinec/nby034
Estimation of models with structural breaks usually assumes a pre-specified number of breaks. Previous models which do allow an endogenously determined number of breaks require a simple structural model, and rarely allow for information transfer acro
Publikováno v:
Dobson, B, Miles-Wilson, J J, Gilchrist, I, Leslie, D & Wagener, T 2018, ' Effects of flood risk visualization format on house purchasing decisions ', Urban Water Journal . https://doi.org/10.1080/1573062X.2018.1537370
We investigated how decision-making is affected by the visual presentation of flood hazard information. We exposed participants to different formats of flood hazard information while they simulated selecting a property to purchase. We compared three