Št. zadetkov: 158
Izvirni znanstveni članek
Oznake:
pšenica;skladiščenje;integrirano varstvo rastlin;žitni žužki;Sitophilus oryzae;rižev žužek;ne-kemične metode zatiranja;
The use of aeration, which refers to cooling of a grain mass using low-volume airflow rates with ambient air, is an under-utilized component of management programs. A model simulation study was conducted for the country of Slovenia by examining historical weather data for 10 selected sites to determ ...
Leto:
2020
Vir:
Biotehniška fakulteta (UL BF)
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
Video in druga učna gradiva
Oznake:
computer science;machine learning;regression
The development of statistical models for continuous-time longitudinal network data is of increasing interest in machine learning and social science. Leveraging ideas from survival and event history analysis, we introduce a continuous-time regression modeling framework for network event data that ca ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;structured data
Given sets of observations of training and test data, we consider the problem of re-weighting the training data such that its distribution more closely matches that of the test data. We achieve this goal by matching covariate distributions between training and test sets in a high dimensional feature ...
Leto:
2009
Vir:
videolectures.net