Št. zadetkov: 15
Pregledni znanstveni članek
Oznake:
age-related macular degeneration;coroidal neovascularization;geographic atrophy;macular neovascularization;
Purpose: Understanding the clinical characteristics and underlying mechanisms of simultaneous geographic atrophy (GA) and choroidal neovascularization (CNV)/macular neovascularization (MNV) is necessary for the long-term management of late age-related macular degeneration (AMD) in clinical practice. ...
Leto:
2025
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Video in druga učna gradiva
Oznake:
computer science;machine learning;boosting
The AdaBoost algorithm was designed to combine many "weak" hypotheses that perform slightly
better than random guessing into a "strong" hypothesis that has very low error. We study the rate at which AdaBoost iteratively converges to the minimum of the "exponential loss". Unlike previous
work, our pr ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;robotics;technology;innovation;human computer interaction
Cynthia Breazeal’s eminently charming and huggable creatures appear to have stepped out of Santa’s North Pole workshop. But Breazeal wants you to know that her robots are attempts to create socially intelligent machines “whose behaviors are governed not just by physics but by having a mind,” and whi ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
technology;energy;environment
For agricultural interests the world over, climate change is not a dim threat, but a reality with diverse long and short-term impacts, believes Cynthia Rosenzweig.
Without the agricultural revolution of eight to 10 thousand years ago, there would be far fewer people and “we’d all be out hunting and ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;boosting
One of the most successful and popular learning algorithms is AdaBoost, which is a classification algorithm designed to construct a "strong" classifier from a "weak" learning algorithm. Just after the development of AdaBoost nine years ago, scientists derived margin- based generalization bounds to e ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
We consider a supervised learning problem in which data are revealed sequentially and the
goal is to determine what will next be revealed. In the context of this problem, algorithms
based on association rules have a distinct advantage over classical statistical and machine
learning methods; howev ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;knowledge extraction
It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black box" predictive models. They would like to understand how predictions are made, and possibly, prefer models that emulate the way a human expert might make a ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;artificial intelligence;semantic web
Children are the most precious natural resource of any nation. Education opens the mind of a child to a potential lifetime of knowledge in all its varieties, personal growth, and critical and creative thinking. Yet, it is estimated that around 67 million children live in poor, remote areas where the ...
Leto:
2014
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
hiketeia;ritual;Greek religion;crisis;ambivalence;divine anger;Herodotus;ok.485-ok.425 pr.n.št.;
Starogrški ritual priprošnje ali suplikacije, imenovan hiketeia, so izvajali posamezniki, ki so iskali azil ali druge oblike pomoči. Po mnenju Johna Goulda je hiketeia ambivalentna: čeprav je prosilec v primerjavi z osebo, na katero se obrača, v podrejenem položaju, pa geste priprošnje na simbolni r ...
Leto:
2025
Vir:
Filozofska fakulteta (UL FF)
Video in druga učna gradiva
Oznake:
computer science;robotics;intelligent agents
This demonstrates the robot Leonardo's ability to reason and act competently in situations when the other (in this case, human) agents have different belief states.
Leto:
2007
Vir:
videolectures.net