Št. zadetkov: 397
Ni določena
Oznake:
kvaliteta;celovita kvaliteta;TQM;informatika;informacije;MIS;znanje;vodenje;manager;poslovodni delavci;proizvodi;kapital;človeški kapital;elektronsko poslovanje;meritve;organizacijski sistemi;kreativnost;ustvarjalnost;rešitve;potrošnik;mreže;infrastruktura;uporaba računalnika;računalniške mreže;WWW;Vodenje;Priročniki;Znanje vodenja;Poslovne informacije;Informacije;Informacijsko povezovanje;Management informacij;Merjenje učinkovitosti;Vodenje procesov;
Quality information and knowledge
Leto:
1999
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Fei Tong,
Kosala Yapabandara,
C.-W. Yang,
Min P. Khanal,
C. Jiao,
M. Goforth,
Burcu Ozden,
Ayayi Claude Ahyi,
M. Hamilton,
G. Niu,
D. A. Ewoldt,
G. Chung,
Minseo Park
Kratki znanstveni prispevek
Oznake:
spectroscopic Photo-IV;AlGaN/GaN HEMT;
Spectroscopic Photo-IV Diagnostics of Nitride-based HEMT on Si Wafers
Leto:
2013
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
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
Video in druga učna gradiva
Oznake:
computer science;information retrieval;databases;data mining;security & privacy
Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protection of private and personal information. Lately, numerous methods of privacy-preserving data mining have been proposed. M ...
Leto:
2010
Vir:
videolectures.net