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Št. zadetkov: 45
Urban ambiance, meaning and emotion
Michelle Schut, Siri T. Hettige, Peter J.M. Nas
Izvirni znanstveni članek
Oznake: urbanizem;urbana simbolika;strah;Tamili;Colombo;Sri Lanka;
Leto: 2008 Vir: dLib.si Digitalna knjižnica Slovenije
Kernel Hyperalignment
Peter J. Ramadge
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;biology;neuroscience;supervised learning
We offer a regularized, kernel extension of the multi-set, orthogonal Procrustes problem, or hyperalignment. Our new method, called Kernel Hyperalignment, expands the scope of hyperalignment to include nonlinear measures of similarity and enables the alignment of multiple datasets with a large numbe ...
Leto: 2012 Vir: videolectures.net
On the Borders of Statistics and Computer Science
Peter J. Bickel
Video in druga učna gradiva
Oznake: mathematics;statistics
Machine learning in computer science and prediction and classification in statistics are essentially equivalent fields. I will try to illustrate the relation between theory and practice in this huge area by a few examples and results. In particular I will try to address an apparent puzzle: Worst cas ...
Leto: 2005 Vir: videolectures.net
Inference for Networks
Peter J. Bickel
Video in druga učna gradiva
Oznake: computer science;network analysis
A great deal of attention has recently been paid to determining sub-communities on the basis of relations, corresponding to edges, between individuals, corresponding to vertices out of an unlabelled graph (Neman, SIAM Review 2003; Airoldi et al JMLR 2008; Leskovec & Kleinberg et al SIGKDD 2005) for ...
Leto: 2009 Vir: videolectures.net
Kernel Representations and Kernel Density Estimation
Peter J. Bickel
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;clustering
There has been a great deal of attention in recent times particularly in machine learning to representation of multivariate data points x by K(x, ·) where K is positive and symmetric and thus induces a reproducing kernel Hilbert space.The idea is then to use the matrix ||K(Xi , Xj )|| as a subs ...
Leto: 2008 Vir: videolectures.net
Surprising phenomena in inference for iid p dimensional data for 0

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Peter J. Bickel
Video in druga učna gradiva
Oznake: computer science;machine learning
I.We study the behavior of robust regression and least squares in the unpenalized case for 0

Leto: 2013 Vir: videolectures.net
The Croatian fraternal union Zajedničar and the second generation
Peter J. Rachleff
Izvirni znanstveni članek
Oznake: emigration;gazettes;fraternal organizations;Croatian emigrants;United States of America;
Leto: 1992 Vir: dLib.si Digitalna knjižnica Slovenije
The zero-moment half metal: How can it change spintronics?
J. M. D. Coey
Video in druga učna gradiva
Oznake: physics
A zero-moment half metal is a ferromagnetic metal with a gap in the density of states at the Fermi level for either the spin-up or spin-down electrons. Such a material, if stoichiometric, should have a spin moment which is an integral number of Bohr magnetons per formula unit, 4, 3, 2, 1, or 0. The ...
Leto: 2015 Vir: videolectures.net
ǂA ǂnew approximation hierarchy for polynomial conic optimization
Peter J. C. Dickinson, Janez Povh
Izvirni znanstveni članek
Oznake: polynomial conic optimization;polynomial semi-definite programming;polynomial second-order cone programming;approximation hierarchy;linear programming;semi-definite programming;
In this paper we consider polynomial conic optimization problems, where the feasible set is defined by constraints in the form of given polynomial vectors belonging to given nonempty closed convex cones, and we assume that all the feasible solutions are non-negative. This family of problems captures ...
Leto: 2019 Vir: Fakulteta za strojništvo (UL FS)
Bag Dissimilarities for Multiple Instance Learning
David M. J. Tax
Video in druga učna gradiva
Oznake: computer science;machine learning;instance-based learning
When objects cannot be represented well by single feature vectors, a collection of feature vectors can be used. This is what is done in Multiple Instance learning, where it is called a bag of instances. By using a bag of instances, an object gains more internal structure than when a single feature v ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 45
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