Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Andrej Dobnikar"'
Autor:
Rok Gaber, Andreja Majerle, Roman Jerala, Andrej Dobnikar, Mojca Benčina, Tina Lebar, Branko Šter
Publikováno v:
Nature Chemical Biology. 10:203-208
Electronic computer circuits consisting of a large number of connected logic gates of the same type, such as NOR, can be easily fabricated and can implement any logic function. In contrast, designed genetic circuits must employ orthogonal information
Autor:
Nejc Ilc, Andrej Dobnikar
Publikováno v:
Neurocomputing. 96:47-56
Clustering-ensemble methods have emerged recently as an effective approach to the problem of clustering, which is one of the fundamental data-analysis tools. Data clustering with an ensemble involves two steps: generation of the ensemble with single-
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 40:287-297
Constructing a single text classifier that excels in any given application is a rather inviable goal. As a result, ensemble systems are becoming an important resource, since they permit the use of simpler classifiers and the integration of different
Autor:
Branko Šter, Andrej Dobnikar
Publikováno v:
Neural Processing Letters. 29:75-88
In this article we research the impact of the adaptive learning process of recurrent neural networks (RNN) on the structural properties of the derived graphs. A trained fully connected RNN can be converted to a graph by defining edges between pairs o
Autor:
Andrej Dobnikar, Iztok Jeras
Publikováno v:
Physica D: Nonlinear Phenomena. 233:95-111
This paper investigates pre-images (ancestors or past configurations) of specified configurations of one-dimensional cellular automata. Both counting and listing of pre-images are discussed. The main graphical tools used are the de Bruijn diagram, an
Autor:
Andrej Dobnikar, Branko Šter
Publikováno v:
Journal of Intelligent and Robotic Systems. 46:181-199
A type of topological approach to mobile robot navigation is discussed and experimentally evaluated. The environment as experienced by a moving robot is treated as a dynamical system. Simple types of reactive behavior are supplemented with eventual d
Autor:
Andrej Dobnikar, Ivan Gabrijel
Publikováno v:
Neural Networks. 16:101-120
In this paper finite automata are treated as general discrete dynamical systems from the viewpoint of systems theory. The unconditional on-line identification of an unknown finite automaton is the problem considered. A generalized architecture of rec
Autor:
Andrej Dobnikar, Branko Šter
Publikováno v:
Neural Processing Letters. 18:17-27
A method for function approximation in reinforcement learning settings is proposed. The action-value function of the Q-learning method is approximated by the radial basis function neural network and learned by the gradient descent. Those radial basis
From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improv
Autor:
Andrej Dobnikar, Branko Šter
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783642372124
ICANNGA
ICANNGA
Many different models of genetic regulatory networks (GRN) exist, but most of them are focused on off-line processing, so that important features of real networks, like adaptive and non-stationary characterare missed. Interdisciplinary insight into t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f06fade26d901acde4e491023829aa0e
https://doi.org/10.1007/978-3-642-37213-1_25
https://doi.org/10.1007/978-3-642-37213-1_25