Search results for "ML"
showing 10 items of 1465 documents
Implementing structured document production to support enterprise content management
2017
Within enterprise content management (ECM), the major goal is to develop and deploy systematic solutions for managing documents and other content items. ECM implementation concerns the development and deployment of new content management solutions and practices in an organization. Extensible Markup Language (XML) offers a standardized format for documents supporting the management and preservation of documents as structured documents. However, the deployment of XML may require a demanding standardization process, changes in work practices, and new tools for document management. Consequently, this research explores the implementation of structured document production environments. The focus …
A new approach for estimating a nonlinear growth component in multilevel modeling
2011
This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression model due to the synchronized periodical effect (e.g., day-of-the-week fluctuation) appearing both in independent and dependent variables. First, the new approach is introduced. Second, a Monte Carlo simulation study is carried out to examine the functioning of the proposed new approach in the case of small sample sizes. Third, the use of the approac…
Acoustic detection and classification of river boats
2011
We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…
Exact extension of the DIRECT algorithm to multiple objectives
2019
The direct algorithm has been recognized as an efficient global optimization method which has few requirements of regularity and has proven to be globally convergent in general cases. direct has been an inspiration or has been used as a component for many multiobjective optimization algorithms. We propose an exact and as genuine as possible extension of the direct method for multiple objectives, providing a proof of global convergence (i.e., a guarantee that in an infinite time the algorithm becomes everywhere dense). We test the efficiency of the algorithm on a nonlinear and nonconvex vector function. peerReviewed
Domain Specific Case Tool for ICT-Enabled Service Design
2014
One major problem in service design is the limited availability of information gathered during the development process. In particular, information on end-user requirements is difficult for designers, developers, and maintainers to access. Here, we provide a mechanism that supports the gathering and modeling of various types of information throughout the service and software development life cycle. As various existing tools focus on a particular part of the life cycle, essential information is not available, or it is more difficult to obtain in later stages. The linkage between information collected in the different stages is often lost. The implemented tool support enables the modeling of r…
Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential?
2011
a b s t r a c t In the study of event-related potentials (ERPs) using independent component analysis (ICA), it is a traditional way to project the extracted ERP component back to electrodes for correcting its scaling (magnitude and polarity) indeterminacy. However, ICA tends to be locally optimized in practice, and then, the back-projection of a component estimated by the ICA can possibly not fully correct its polarity at every electrode. We demonstrate this phenomenon from the view of the theoretical analysis and numerical simulations and suggest checking and modifying the abnormal polarity of the projected component in the electrode field before further analysis. Moreover, when several co…
Palveluiden saatavuuden parantaminen mobiililaitteille
2012
Tutkimuksen tarkoituksena on kehittää kehysmalli, jonka avulla palvelun saatavuutta voidaan parantaa mobiililaitteille. Saatavuuden ongelmana on erilaisten mobii- lilaitteiden määrä, joilla palvelun tulisi toimia. Tutkimuksessa perehdytään palvelun vaati- muksia, selvitetään Suomen mobiililaitejakaumaan sekä tutustutaan mobiililaitteiden rajoi- tuksiin. Lisäksi tutustutaan sisällön adaptoitumisen menetelmiin. Näiden pohjalta valitaan ja rajataan kehysmallissa käytettävät teknologiat. Kehysmalli sisältää arkkitehtuurimallin palvelun toteutukseen sekä menetelmät sisällön adaptoitumiseen. Tutkimuksen kehysmal- lia arvioidaan toteuttamalla palvelu, joka pohjautuu aikaisemmin toteutettuun sovell…
La falta de reproducibilitat de la investigació: L'estadística com a legitimació del resultat
2014
La investigació científica es legitima mitjançant la replicació dels seus resultats, però els esforços per replicar afirmacions enganyoses exhaureixen el finançament. Ens centrarem en una d’aquestes errades: els resultats de proves estadístiques que ofereixen falsos positius a causa de l’atzar. Els mètodes estadístics clàssics confien en un p-valor per a ponderar les proves enfront d’una hipòtesi nul·la, però les proves d’hipòtesis bayesianes ofereixen resultats més fàcils de comprendre, sempre que hom puga especificar distribucions a priori per a la hipòtesi alternativa. Descriurem noves proves, les UMPBT, tests bayesians que ofereixen una especificació per defecte de les alternatives a pr…
Viljama Šekspīra luga “Hamlets” un tās iestudējumi latviešu teātrī
2016
mērķis ir sniegt daudzpusīgu traģēdijas “Hamlets” tulkojuma analīzi, kā arī veidot radošu un objektīvu Šekspīra lugas iestudējumu analīzi latviešu teātrī, apskatot iestudējumus, kas tapuši laika posmā no 1894. līdz 2008.gadam. Aplūkotie piecpadsmit iestudējumi, kas iestudēti visos lielākajos Rīgas un reģionālajos teātros, tostarp arī Rīgas Latviešu teātrī, kurā tapusi pirmā “Hamlets” lugas interpretācija latviešu teātrī. Autore ir secinājusi, ka luga “Hamlets” tiek iestudēta kā sava laika un sabiedrības spogulis, balstoties uz teātra valodu un tehniku, kas raksturīga režisoram, kurš veido lugas interpretāciju.
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed