Št. zadetkov: 40
György Csóka,
Anikó Hirka,
Serap Mutun,
Milka Glavendekić,
Ágnes Mikó,
Levente Szőcs,
Márton Paulin,
Eötvös Csaba Béla,
Gáspár Csaba,
Mariann Csepelényi,
Maja Jurc,
Dušan Jurc
Izvirni znanstveni članek
Oznake:
Corythucha arcuata;host plants;non-native species;Quercus spp;sentinel gardens;
The North American oak lace bug feeds on leaves of 'white oaks' in its native range. In Europe, it was first discovered in northern Italy in 2000. In recent years, it has subsequently spread rapidly and population outbreaks have been observed in several European countries. In the present study, we s ...
Leto:
2020
Vir:
Biotehniška fakulteta (UL BF)
Gernot Hoch,
Alex Stemmelen,
Eötvös Csaba Béla,
Werner Hinterstoisser,
Miran Lanšćak,
Srđan Stojnić,
Máté Tóth,
Marjana Westergren,
Simon Zidar,
Milica Zlatković,
Nikola Zoric,
Maarten De Groot
Izvirni znanstveni članek
Oznake:
asociacijska odpornost;Corythucha arcuata;pestrost;koncentracija gostiteljskih dreves;invazivni gozdni škodljivci;varstvo gozdov;entomologija;associational resistance;diversity;host tree concentration;invasive forest pest;
There has been accumulating evidence for effects of tree species composition on herbivory with many examples of lower damage by specialist feeders in tree species rich forests. In a joint study in five Central and Southeastern European countries, we studied the effect of tree species richness on inf ...
Leto:
2024
Vir:
Repozitorij Univerze v Ljubljani (RUL)
Video in druga učna gradiva
Oznake:
mathematics;game theory
Partial monitoring games form a common ground for problems such as learning with expert advice, the multi-armed bandit problem, dynamic pricing, the dark pool problem, label efficient prediction, channel allocation in cognitive radio, linear and convex optimization with various feedbacks. How hard i ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;reinforcement learning
The tutorial will introduce
Reinforcement Learning, that is, learning what actions to take,
and when to take them, so as to optimize long-term performance. This may
involve sacrificing immediate reward to obtain greater reward in the
long-term or just to obtain more information about the environ ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning
How should an online learner choose its actions to trade off between exploration and exploitation to maximize the accuracy of predictions where the choice of actions directly influence what information the learner receives? First, using the abstract framework of partial monitoring, we provide a full ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;active learning;exploration vs. exploitation
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;reinforcement learning
A popular approach in reinforcement learning is to use a model-based algorithm, i.e., an algorithm that utilizes a model learner to learn an approximate model to the environment. It has been shown such a model-based learner is efficient if the model learner is efficient in the so-called \knows what ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
technology;engineering;electrical engineering
We study the average cost Linear Quadratic (LQ) problem with unknown model parameters,
also known as the adaptive control problem in the control community. We design an
algorithm and prove that its regret up to time T is O(√T) apart from logarithmic factors.
Unlike many classical approaches that ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
We study independent component analysis with noisy observations. We present, for the first time in the literature, consistent, polynomial-time algorithms to recover non-Gaussian source signals and the mixing matrix with a reconstruction error that vanishes at a 1/T√ rate using T observations and sca ...
Leto:
2015
Vir:
videolectures.net