Št. zadetkov: 8
Video in druga učna gradiva
Oznake:
computer science;machine learning;supervised learning
The basis assumption “training and test data drawn from the same distribution” is often violated. We propose one common solution to cover various scenarios of learning under “different but related distributions” in a single framework. Examples include (a) sample selection bias (b) transfer learning ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;statistical & consensus methods
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to consolidate different concepts for intelligent decision making. For example, to predict the research areas of some people, the ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;supervised learning
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the assumption made by existing approaches, that the marginal and conditional probabilities are directly related between sou ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
Deep learning well demonstrates its potential in learning latent feature representations. Recent years have witnessed an increasing enthusiasm for regularizing deep neural networks by incorporating various side information, such as user-provided labels or pairwise constraints. However, the effective ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;text mining
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data are non-identical, model trained in one domain, when directly applied to a diffeerent domain, is usually low in accuracy. F ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data science
Recent years have witnessed an astonishing growth of crowd-contributed data, which has become a powerful information source that covers almost every aspect of our lives. This big treasure trove of information has fundamentally changed the ways in which we learn about our world. Crowdsourcing has att ...
Leto:
2016
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
Mattirolomyces terfezioides;puščavske gomoljike;Mongolija;filogeografija;biodiverziteta;biogeografija;mikologija;biodiversity;biogeography;mycology;Desert truffle;Inner Mongolia;phylogeography;
Mattirolomyces is an edible commercial sequestrate genus that is globally distributed. From the five described taxa of this genus, Mattirolomyces terfezioides is the most common species in Asia. Our recent attempts to locate M. terfezioides outside its current distribution area in China documented i ...
Leto:
2022
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Izvirni znanstveni članek
Oznake:
amorphous gallium oxide;passivation layer;plasma enhanced atomic layer deposition;responsivity;solar-blind photodetector;
Wide-bandgap gallium oxide (Ga2O3) is one of the most promising semiconductor materials for solar-blind (200 nm–280 nm) photodetection. In its amorphous form, a-Ga2O3 maintains its intrinsic optoelectronic properties while can be prepared at a low growth temperature, thus is compatible with Si integ ...
Leto:
2022
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)