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Št. zadetkov: 9
ǂA ǂframework for evaluating the performance of SMLM cluster analysis algorithms
Daniel J. Nieves, Jeremy A. Pike, Florian Levet, David J. Williamson, Mohammed Baragilly, Sandra Oloketuyi, Ario De Marco, Juliette Griffié, Daniel Sage, Edward A. K. Cohen
Izvirni znanstveni članek
Oznake: super resolution microscopy;functionalized nanobodies;
ǂA ǂframework for evaluating the performance of SMLM cluster analysis algorithms
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Introduction & Opening
Bob Williamson
Video in druga učna gradiva
Oznake: events
Leto: 2004 Vir: videolectures.net
Probabilistic Models for Data Combination in Recommender Systems
Sinead Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning
We propose a method for jointly learning multiple related matrices, and show that, by sharing information between the two matrices, such an approach allows us to improve predictive performances for items where one of the matrices contains very sparse, or no, information. While the above justificatio ...
Leto: 2008 Vir: videolectures.net
Restricting exchangeable nonparametric distributions
Sinead Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning
Distributions over exchangeable matrices with infinitely many columns are useful in constructing nonparametric latent variable models. However, the distribution implied by such models over the number of features exhibited by each data point may be poorly-suited for many modeling tasks. In this paper ...
Leto: 2014 Vir: videolectures.net
Mixability is Bayes Risk Curvature Relative to Log Loss
Robert C. Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning
Mixability of a loss governs the best possible performance when aggregating expert predictions with respect to that loss. The determination of the mixability constant for binary losses is straightforward but opaque. In the binary case we make this transparent and simpler by characterising mixability ...
Leto: 2011 Vir: videolectures.net
Discriminative and Generative Views of Binary Experiments
Robert C. Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning;supervised learning
We consider Binary experiments (supervised learning problems where there are two different labels) and explore formal relationships between two views of them, which we call “generative” and “discriminative”. The discriminative perspective involves an expected loss. The generative perspective (in our ...
Leto: 2009 Vir: videolectures.net
Relations Betweeen Machine Learning Problems
Robert C. Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2011 Vir: videolectures.net
The Geometry of Losses
Robert C. Williamson
Video in druga učna gradiva
Oznake: computer science;machine learning;supervised learning;computational learning theory;on-line learning;unsupervised learning;statistical learning
Loss functions are central to machine learning because they are the means by which the quality of a prediction is evaluated. Any loss that is not proper, or can not be transformed to be proper via a link function is inadmissible. All admissible losses for n-class problems can be obtained in terms of ...
Leto: 2014 Vir: videolectures.net
Darkening of the Greenland Ice Sheet
Laura Perini, Cene Gostinčar, Alexandre Anesio, Christopher Williamson, Martyn Tranter, Nina Gunde-Cimerman
Izvirni znanstveni članek
Oznake: fungi;bacteria;Greenland Ice Sheet;dark ice;ice algae;NGS;microbial diversity;albedo effect;
Recent studies have highlighted the importance of ice-algal blooms in driving darkening and therefore surface melt of the Greenland Ice Sheet (GrIS). However, the contribution of fungal and bacterial communities to this microbially driven albedo reduction remains unconstrained. To address this signi ...
Leto: 2019 Vir: Biotehniška fakulteta (UL BF)
Št. zadetkov: 9
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