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Št. zadetkov: 8
Izvirni znanstveni članek
Oznake: genska raznolikost;globalna metaanaliza;ukrepi;global meta-analysis;genetic diversity;
Mitigating loss of genetic diversity is a major global biodiversity challenge1,2,3,4. To meet recent international commitments to maintain genetic diversity within species5,6, we need to understand relationships between threats, conservation management and genetic diversity change. Here we conduct a ...
Leto: 2025 Vir: Repozitorij Univerze v Ljubljani (RUL)
Video in druga učna gradiva
Oznake: computer science;machine learning;reinforcement learning;artificial intelligence
We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts the---initially unknown---desired trajectory from the sub-optimal expert's demonstrations and (ii) learns a local model ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision
Computer vision is a challenging application area of machine learning. Recent work has shown that large training sets may yield higher performance in vision tasks like object detection. We overview our work in object detection using a scalable, distributed training system capable of training on more ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake:
In several latency in obtaining information about the state of the network. The adoption of active learning techniques can result in a dramatic reduction in the number of measurement probes and the time required to obtain accurate estimates of network performance metrics. We describe how these techn ...
Leto: 2010 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computer vision;machine learning
Machine learning algorithms have freed practitioners from many error-prone, hand-engineered components for making decisions in common machine vision tasks such as object recognition. A major source of difficulty, however, is that such learning systems still rely on many hand-built components like so ...
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;deep learning;reinforcement learning;unsupervised learning
Leto: 2015 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;deep learning;reinforcement learning;unsupervised learning
Leto: 2015 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;robotics
Stanford's Autonomous Helicopter project pushes the limits of autonomous flight control by teaching a computer to fly a competition-class remote controlled (RC) helicopter through a range of aerobatic stunts. Our apprenticeship learning approach learns to fly the helicopter by observing human demons ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 8
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