Št. zadetkov: 52
Objavljeni znanstveni prispevek na konferenci
Oznake:
ultra-high-energy cosmic rays;Pierre Auger Observatory;UHE neutrons;Galactic sources;Crab Nebula;
Astrophysical neutral particles, such as neutrons, are produced through interactions of charged cosmic rays in the vicinity of their acceleration sites and are not deflected by magnetic fields during propagation. Therefore, they can be traced back to their sources. Despite being unstable particles, ...
Leto:
2025
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
COVID-19;metabolni modeli na nivoju genoma;metode ekstrakcije modelov;kontekstno specifični modeli;metabolna analiza obogatenosti;genome-scale metabolic models;model extraction methods;context-specific models;metabolic enrichment analysis;
COVID-19 presents a complex disease that needs to be addressed using systems medicine approaches that include genome-scale metabolic models (GEMs). Previous studies have used a single model extraction method (MEM) and/or a single transcriptomic dataset to reconstruct context-specific models, which p ...
Leto:
2022
Vir:
Fakulteta za računalništvo in informatiko (UL FRI)
Vid Kavaš,
Carlos Contreras-Martel,
Stane Pajk,
Damijan Knez,
Alexandre Martins,
Thomas A. Gould,
David I. Roper,
Irena Zdovc,
Andréa Dessen,
Martina Hrast,
Stanislav Gobec
Izvirni znanstveni članek
Oznake:
antimicrobial agents;bacteria inhibition;inhibitors;potassium;
Monobactams, a subclass of β-lactam antibiotics with a monocyclic scaffold, are uniquely resistant to hydrolysis by metallo-β-lactamases, providing a distinct therapeutic advantage. Here, we report an in silico-based structure–activity relationship (SAR) investigation of aztreonam-related monobactam ...
Leto:
2026
Vir:
Fakulteta za farmacijo (UL FFA)
Video in druga učna gradiva
Oznake:
computer science;computer vision;shape analysis
This work presents a novel Bayesian formulation for aligning faces in unseen images.
Our approach is closely related to Constrained Local Models (CLM) and Active
Shape Models (ASM), where an ensemble of local feature detectors are constrained to
lie within the subspace spanned by a Point Distributio ...
Leto:
2012
Vir:
videolectures.net
Ni določena
Oznake:
Reisebeschreibung;
Leto:
1868
Vir:
dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake:
computer science;pattern recognition
An important problem in the bioinformatics field is the inference of gene regulatory networks (GRN) from temporal expression profiles. In general, the main limitations faced by GRN inference methods is the small number of samples with huge dimensionalities and the noisy nature of the expression mea ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Positive definite kernels on probability measures have been recently applied in structured data classification problems. Some of these kernels are related to classic information theoretic quantities, such as mutual information and the Jensen-Shannon divergence. Meanwhile, driven by recent advances i ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;natural language processing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learning algorithms act as if computational cost was constant within the model class. This paper sheds some light on the first i ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;optimization methods
In this paper, we propose combining augmented Lagrangian optimization with
the dual decomposition method to obtain a fast algorithm for approximate MAP
(maximum a posteriori) inference on factor graphs. We also show how the proposed
algorithm can efficiently handle problems with (possibly global) st ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;structured output;on-line learning
Structured prediction (SP) problems are characterized by strong interdependence among the output
variables, usually with sequential, graphical, or combinatorial structure [17, 7]. Obtaining good
predictors often requires a large effort in feature/kernel design and tuning (usually done via crossvalid ...
Leto:
2010
Vir:
videolectures.net