5 citations · 5 across the 7 of their papers we have counts for
9 papers
Stability of input-output maps and their minimal realizations in state-linear, state-affine, LPV, and linear switched systems
Mihály Petreczky, Juan-Pablo Ortega, Florian Rossmannek +1
Stability is often assumed in learning and identification, yet it is rarely characterized directly from input--output data. We show that an input--output family admits a stable fin…
A finite-sample bound for identifying partially observed linear switched systems from a single trajectory
Daniel Racz, Mihaly Petreczky, Balint Daroczy
We derive a finite-sample probabilistic bound on the parameter estimation error of a system identification algorithm for Linear Switched Systems. The algorithm estimates Markov par…
A finite-sample generalization bound for stable LPV systems
Daniel Racz, Martin Gonzalez, Mihaly Petreczky +2
One of the main theoretical challenges in learning dynamical systems from data is providing upper bounds on the generalization error, that is, the difference between the expected p…
Expressive power of outer product manifolds on feed-forward neural networks
Bálint Daróczy, Rita Aleksziev, András Benczúr
Hierarchical neural networks are exponentially more efficient than their corresponding "shallow" counterpart with the same expressive power, but involve huge number of parameters a…
And Now for Something Completely Different: Visual Novelty in an Online Network of Designers
Johannes Wachs, Bálint Daróczy, Anikó Hannák +2
Novelty is a key ingredient of innovation but quantifying it is difficult. This is especially true for visual work like graphic design. Using designs shared on an online social net…
Machine learning methods for multimedia information retrieval
Bálint Zoltán Daróczy
In this thesis we examined several multimodal feature extraction and learning methods for retrieval and classification purposes. We reread briefly some theoretical results of learn…
Why Do Men Get More Attention? Exploring Factors Behind Success in an Online Design Community
Johannes Wachs, Anikó Hannák, András Vörös +1
Online platforms are an increasingly popular tool for people to produce, promote or sell their work. However recent studies indicate that social disparities and biases present in t…
Item-to-item recommendation based on Contextual Fisher Information
Bálint Daróczy, Frederick Ayala-Gómez, András Benczúr
Web recommendation services bear great importance in e-commerce, as they aid the user in navigating through the items that are most relevant to her needs. In a typical Web site, lo…
Statistical analysis of NOMAO customer votes for spots of France
Robert Palovics, Balint Daroczy, Andras Benczur +5
We investigate the statistical properties of votes of customers for spots of France collected by the startup company NOMAO. The frequencies of votes per spot and per customer are c…