Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Arno Blaas"'
Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data
Autor:
Graham Mackintosh, Samuel Budd, Kia Khezeli, John Kalantari, Arno Blaas, Krittika D'Silva, Frank Soboczenski, Adrienne Hoarfrost, Nicholas Chia
Publikováno v:
LifeTech
We introduce CRISP, a Causal Research and Inference Search Platform. It is designed to assist biological and medical research by applying a variety of causal discovery methods to heterogeneous and high-dimensional observational data. CRISP aims to id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db2689b077801512365de4479cbb2ed
https://doi.org/10.1109/lifetech52111.2021.9391819
https://doi.org/10.1109/lifetech52111.2021.9391819
Publikováno v:
ECC
Their flexibility to learn general function classes renders nonparametric regression algorithms particularly attractive in system identification and data-based control settings, where little a priori knowledge about a dynamical system is to be presum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ffd11c64da5fb2c695ae9353c4c3c4c
https://doi.org/10.23919/ecc.2019.8796283
https://doi.org/10.23919/ecc.2019.8796283
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030004606
SUM
SUM
We propose SLAC, a sparse approximation to a Lipschitz constant estimator that can be utilised to obtain uncertainty bounds around predictions of a regression method. As we demonstrate in a series of experiments on real-world and synthetic data, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ba036fd4aa9360ba36aad98664f105
https://doi.org/10.1007/978-3-030-00461-3_27
https://doi.org/10.1007/978-3-030-00461-3_27
