Št. zadetkov: 422
Longlong Wang,
Marija Bervida,
Samo Stanič,
Klemen Bergant,
Asta Gregorič,
Luka Drinovec,
Griša Močnik,
Zhenping Yin,
Yang Yi,
Detlef Müller,
Xuan Wang
Izvirni znanstveni članek
Oznake:
valley air pollution;aerosol vertical distributions;lidar remote sensing;aerosol identification;
Aerosol direct radiative forcing is strongly dependent on aerosol distributions and aerosol types. A detailed understanding of such information is still missing at the Alpine region, which currently undergoes amplified climate warming. Our goal was to study the vertical variability of aerosol types ...
Leto:
2022
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
polarimetric;stars;supernovae;AT 2018cow;
Leto:
2023
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
analysis of hydraulic support attitude;simulation analysis;axis pin connection clearance;hydraulic cylinder stiffness;
The existing hydraulic support attitude monitoring and control methods integrate multiple sensing technologies, but it is difficult to apply and promote due to unclear monitoring mechanisms, complicated types, and a large number of sensors. Aiming at the problem of attitude monitoring and control of ...
Leto:
2024
Vir:
Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake:
kromosomi;poškodbe;prelomi;radiacija;simulacija;metode;
Leto:
2008
Vir:
dLib.si Digitalna knjižnica Slovenije
Video in druga učna gradiva
Oznake:
computer science;computational linguistics
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging problem in proteomic data analysis. We formulate the task as an IR problem, by constructing a “query vector” whose elements a ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we present a boosting approach that integrates features with incomplete information and those with complete information to form ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classification hypotheses that are consistent with all the training examples received so far. This is in contrast to most onlin ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;pattern recognition
Sensors provide computer systems with a window to the outside world. Activity recognition "sees" what is in the window to predict the locations, trajectories, actions, goals and plans of humans and objects. Building an activity recognition system requires a full range of interaction from statistical ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;semantic web;rdf - resource description framework
Data quality issues arise in the Semantic Web because data
is created by diverse people and/or automated tools. In particular, erroneous
triples may occur due to factual errors in the original data source,
the acquisition tools employed, misuse of ontologies, or errors in ontology
alignment. We prop ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;active learning
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical when a very large amount of data is needed for training multi-label text classifiers. To minimize the human-labeling effo ...
Leto:
2009
Vir:
videolectures.net