Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Adam Craig Pocock"'
Autor:
Adam Craig Pocock, James Weatherall, Konstantinos Sechidis, Giorgio Corani, Gavin Brown, Laura Azzimonti
Publikováno v:
Machine Learning. 109:1565-1567
There was a mistake in the proof of the optimal shrinkage intensity for our estimator presented in Section 3.1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::829f74567f832c9c079af7342ff365dc
https://doi.org/10.1007/s10994-020-05884-6
https://doi.org/10.1007/s10994-020-05884-6
Autor:
Konstantinos Sechidis, James Weatherall, Adam Craig Pocock, Giorgio Corani, Gavin Brown, Laura Azzimonti
Publikováno v:
Sechidis, K, Azzimonti, L, Pocock, A, Corani, G, Weatherall, J & Brown, G 2019, ' Efficient Feature Selection Using Shrinkage Estimators ', Machine Learning . https://doi.org/10.1007/s10994-019-05795-1
Information theoretic feature selection methods quantify the importanceof each feature by estimating mutual information terms to capture: therelevancy, the redundancy and the complementarity. These terms are commonlyestimated by maximum likelihood, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b571b4aff11976048145db038dfa8fb8
https://doi.org/10.1007/s10994-019-05795-1
https://doi.org/10.1007/s10994-019-05795-1
Publikováno v:
EuroMLSys@EuroSys
Inspired by earlier work on Augur, Vate is a probabilistic programming language for the construction of JVM based probabilistic models with an Object-Oriented interface. As a compiled language it is able to examine the dependency graph of the model t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::310951c6eb0ac0775141cddbc4248b9a
https://doi.org/10.1145/3437984.3458835
https://doi.org/10.1145/3437984.3458835
Publikováno v:
IEEE BigData
With the growth of high dimensional data, feature selection is a vital component of machine learning as well as an important stand alone data analytics tool. Without it, the computation cost of big data analytics can become unmanageable and spurious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0162db87a993e2996bd9bf61b99264b1
https://e-space.mmu.ac.uk/615528/
https://e-space.mmu.ac.uk/615528/
Autor:
Ian Watson, Polychronis Xekalakis, Paraskevas Yiapanis, Jeremy Singer, Mikel Luján, Gavin Brown, Salman Khan, Nikolas Ioannou, Adam Craig Pocock, Marcelo Cintra
Publikováno v:
IISWC
Thread-Level Speculation (TLS) facilitates the extraction of parallel threads from sequential applications. Most prior work has focused on developing the compiler and architecture for this execution paradigm. Such studies often narrowly concentrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2819e0fde9437dcbd804d6b57bccafc
https://doi.org/10.1109/iiswc.2010.5649169
https://doi.org/10.1109/iiswc.2010.5649169
Publikováno v:
Multiple Classifier Systems ISBN: 9783642121265
MCS
MCS
Oza's Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the power of the boosting framework to be applied to datasets which are too large to fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d394e6de6817b3e26f4a1967fefb698
https://doi.org/10.1007/978-3-642-12127-2_21
https://doi.org/10.1007/978-3-642-12127-2_21
Publikováno v:
Electronic Notes in Theoretical Computer Science. (7):191-204
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. We report statistical and information theoretic metrics to show the fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::874cd7e2b749887b5a493abc2f76ab85