Št. zadetkov: 9
Izvirni znanstveni članek
Oznake:
pozitivno neoznačeno učenje;tenzorske mreže;matrično produktni nastavek;positive unlabeled learning;tensor networks;matrix product states;
Positive unlabeled learning is a binary classification problem with positive and unlabeled data. It is common in domains where negative labels are costly or impossible to obtain, e.g., medicine and personalized advertising. Most approaches to positive unlabeled learning apply to specific data types ...
Leto:
2023
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Diplomsko delo
Oznake:
napovedovanje vremena;napovedovanje temperature;numerični model ECMWF;grebenska regresija;naključni gozdovi;XGBoost;univerzitetni študij;Multimedija;diplomske naloge;
V diplomskem delu smo iskali rešitev za lokalno izboljšavo napovedovanja temperature s strojnim učenjem. Zgradili smo tri različne modele napovedovanja, ki za vhod združijo napovedi globalnega numeričnega vremenskega modela ECMWF s trenutnimi meritvami atmosfere na specifični lokaciji.
Ker so numer ...
Leto:
2023
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Izvirni znanstveni članek
Oznake:
kvantna mehanika;statistična mehanika;quantum mechanics;statistical mechanics;
We investigate the effect of short-range correlations on the dynamical phase diagram of quantum many-body systems with long-range interactions. Focusing on Ising spin chains with power-law decaying interactions and accounting for short-range correlations by a cluster mean field theory we show that s ...
Leto:
2019
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
kvantna mehanika;kvantne spinske verige;quantum mechanics;quantum spin chains;
We show that long-range ferromagnetic interactions in quantum spin chains can induce spatial quasi-localization of topological magnetic defects, i.e., domain-walls, even in the absence of quenched disorder. Utilizing matrix-product-states numerical techniques, we study the non-equilibrium evolution ...
Leto:
2019
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
kvantna mehanika;neravnovesna statistična mehanika;quantum mechanics;nonequilibrium statistical mechanics;
We investigate the robustness of a dynamical phase transition against quantum fluctuations by studying the impact of a ferromagnetic nearest-neighbor spin interaction in one spatial dimension on the nonequilibrium dynamical phase diagram of the fully connected quantum Ising model. In particular, we ...
Leto:
2018
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
kvantna mehanika;neravnovesna statistična mehanika;spinske verige;quantum mechanics;nonequilibrium statistical mechanics;spin chains;
We study the nonequilibrium phase diagram and the dynamical phase transitions occurring during the prethermalization of nonintegrable quantum spin chains, subject to either quantum quenches or linear ramps of a relevant control parameter. We consider spin systems in which long-range ferromagnetic in ...
Leto:
2019
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake:
kvantna statistična mehanika;kvantna mehanika;kvantna prepletenost;quantum statistical mechanics;quantum mechanics;quantum entanglement;
We study scrambling in connection with multipartite entanglement dynamics in regular and chaotic long-range spin chains, characterized by a well-defined semi-classical limit. For regular dynamics, scrambling and entanglement dynamics are found to be very different: up to the Ehrenfest time, they ris ...
Leto:
2018
Vir:
Fakulteta za matematiko in fiziko (UL FMF)
Tim Smole,
Bojan Žunkovič,
Matej Pičulin,
Enja Kokalj,
Marko Robnik Šikonja,
Matjaž Kukar,
Dimitrios I. Fotiadis,
Vasileios C. Pezoulas,
Nikolaos S. Tachos,
Fausto Barlocco,
Francesco Mazzarotto,
Dejana Popović,
Lars S. Maier,
Lazar Velicki,
Guy A. MacGowan,
Iacopo Olivotto,
Nenad Filipović,
Djordje G. Jakovljević,
Zoran Bosnić
Izvirni znanstveni članek
Oznake:
hipertrofična kardiomiopatija;napovedovanje rizika;strojno učenje;umetna inteligenca;hypertrophic cardiomyopathy;risk stratification;machine learning;artificial intelligence;
Background: Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification. Risk stratification tools for hypertrophic cardiomyopathy (HCM) exist, but they are based on traditional statistical methods. The a ...
Leto:
2021
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Magistrsko delo
Oznake:
narkolepsija;variabilnost srčne frekvence;spanje;hipokretin/oreksin;
Leto:
2023
Vir:
Fakulteta za matematiko, naravoslovje in informacijske tehnologije Koper (UP FAMNIT)