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Št. zadetkov: 145
Izvirni znanstveni članek
Oznake: meduze;globalna distribucija;razmnoževanje;polipi;globalna nihanja;umentni podvodni habitati;globalno pojavljanje;
Recurrent jellyfish blooms are a consequence of global oscillations
Leto: 2013 Vir: Repozitorij Univerze v Ljubljani (RUL)
Video in druga učna gradiva
Oznake: computer science;machine learning;feature selection
We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selection progresses indicates that the most accurate feature set corresponds to the best bias-variance trade-off point for the learning algorithm. Often, ...
Leto: 2009 Vir: videolectures.net
Ni določena
Oznake: bioinformatika;računalniška biologija;genetika;človeški genom;računalništvo;Bioinformatik;
Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics.
Leto: 2008 Vir: Fakulteta za zdravstvene vede (UM FZV)
Magistrsko delo
Oznake: glia;astrocytes;oligodendrocyte;adult mouse CNS;optic nerve;cell cultures;immunohistochemistry;MACS system;neurodegenerative diseases;
Isolation and characterization of pure glial cell populations from adult mouse central nervous system white matter
Leto: 2014 Vir: Biotehniška fakulteta (UL BF)
Objavljeni znanstveni prispevek na konferenci
Oznake: slovnica;ruščina;
'Single cycle' languages
Leto: 2006 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Video in druga učna gradiva
Oznake:
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
The $k$ $q$-flats algorithm is a generalization of the popular $k$-means algorithm where $q$ dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a modification of the $k$ $q$-flats framework for pattern classification is introduced. The basic idea is to replac ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;decision support;machine learning;on-line learning
Bayesian model-based reinforcement learning is a formally elegant approach to learning optimal behaviour under model uncertainty, trading off exploration and exploitation in an ideal way. Unfortunately, finding the resulting Bayes-optimal policies is notoriously taxing, since the search space become ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;unsupervised learning
In recent work by (Song et al., 2007), it has been proposed to perform clustering by maximizing a Hilbert-Schmidt independence criterion with respect to a predefined cluster structure Y, by solving for the partition matrix. We extend this approach here to the case where the cluster structure Y is n ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
A number of important problems in signal processing depend on measures of statistical dependence. For instance, this dependence is minimised in the context of instantaneous ICA, in which linearly mixed signals are separated using their (assumed) pairwise independence from each other. A number of met ...
Leto: 2006 Vir: videolectures.net
Št. zadetkov: 145
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