252 research outputs found
Ivica Plavec - Man from Železno; Exhibition
No full textOn Friday, 24, 2019, Galerija Forum in Zagreb, Teslina street, hosted an exhibition of paintings entitled Ivica Plavec - Man from Železno. Ivica Plavec, professor at the Faculty of Architecture of the University of Zagreb and a painter, has exhibited his works earlier at the group exhibition ”Matter Painting in Contemporary Croatian Art” and the solo exhibition ”Sign and Reason” in 2017 in Zagreb. His paintings are painted on car hoods connected into diptychs. Using various tools he carved his oil paintings and thus produced creative effects in the form of slits, cracks, scratches, dents, scrapings, hammer marks and other forms of interventions that testify to a close connection between the author and his home place Železno named after blacksmiths who traditionally lived there. The diptychs are made of car hoods fixed together with two screws. They are coated with paint in such a way that traces of their original colour can still be discerned: white, red, silver, black, gold etc. Eleven diptychs are the paintings named Dies I-XI while six others make another group entitled Roman soldiers. The exhibition is accompanied by a catalogue written by the curator Feđa Gavrilović, and the photographs of all the exhibits
A comparison of validation indices for evaluation of clustering results of DNA microarray data
No full textHMC-reliefF: feature ranking for hierarchical multi-label classification
No full textIn machine learning, the growing complexity of the available data poses an increased challenge for its analysis. The rising complexity is both in terms of the data becoming more high-dimensional as well as the data having a more intricate structure. This emphasizes the need for developing machine learning algorithms that are able to tackle both the high-dimensionality and the complex structure of the data. Our work in this paper focuses on the development and analysis of the HMCReliefF algorithm, which is a feature relevance (ranking) algorithm for the task of Hierarchical Multi-label Classification (HMC). The basis of the algorithm is the RReliefF algorithm for regression that is adapted for hierarchical multi-label target variables. We perform an extensive experimental investigation of the HMC-ReliefF algorithm on several datasets from the domains of image annotation and functional genomics. We analyse the algorithm’s performance in terms of accuracy in a filterlike setting and also in terms of ranking stability for various parameter values. The results show that the HMC-ReliefF can successfully detect relevant features from the data that can be further used for constructing accurate predictive models. Additionally, the stability analysis helps to determine the preferred parameter values for obtaining not just accurate, but also a stable algorithm output.We would like to acknowledge the support of the European Commission through the project MAESTRA – Learning from Massive, Incompletely annotated, and Structured Data (Grant number ICT-2013-612944) and the Human Brain Project (Grant number 604102), and the support of the Spanish Ministry of Economy and Competitiveness, “Centro de Excelencia Severo Ochoa 2013-2017”, SEV-2012-0208
Analysis of time series data with predictive clustering trees
No full textAbstract. Predictive clustering is a general framework that unifies clustering and prediction. This paper investigates how to apply this framework to cluster time series data. The resulting system, Clus-TS, constructs predictive clustering trees (PCTs) that partition a given set of time series into homogeneous clusters. In addition, PCTs provide a symbolic description of the clusters. The paper considers several distance metrics to measure cluster homogeneity (both quantitative and qualitative). We evaluate Clus-TS on time series data from microarray experiments. Each data set records the change over time in the expression level of yeast genes in response to a change in environmental conditions. Our evaluation shows that Clus-TS is able to identify interesting clusters of genes with similar responses. Clus-TS is part of a larger project where the goal is to investigate how global models can be combined with inductive databases.
FINANCING OF THE PUBLIC ENTERPRISES OWNED BY MUNICIPALS
No full textAutor razmatra problem izbora modela fi nanciranja gradskih poduzeća. Budući da postoje stavovi da se prihvati model financiranja
osnivanjem gradskih komunalnih banaka, autor izlaže kretanja na financijskom tržištu, pravnu regulativu, opisuje način financiranja lokalnih uprava i njihovih poduzeća u Europi i navodi argumente protiv osnivanja gradskih komunalnih banaka kao alternativnog modela financiranja gradskih poduzeća.The author examines the issue of the selection of model for municipal enterprises financing. As there are some attitudes to accept financing by establishing municipal banks, the author exposes the trends on financial market, legislation, describes financing of local
administration and their enterprises in Europe and states arguments against establishing municipal banks, as an alternative model for financing municipal enterprises
An avoidable failure: peacekeeping in Croatia
No full textIn this work, the author analyses the grounds for establishment of the two peacekeeping operations deployed in Croatia in the early and mid-1990s, as well as implementation of their two most important components and their effect. The author ascertains that these were classic peacekeeping operations based on documents which were drafted by diplomats Cyrus Vance and Marrack Goulding on behalf of the United Nations. Both operations were ultimately assessed as unsuccessful, mostly because they reflected the international community’s ineffective and uncoordinated policy toward Yugoslavia and the states which emerged after its violent disintegration
Analysis of time series data with predictive clustering trees
No full textPredictive clustering is a general framework that unifies clustering and prediction. This paper investigates how to apply this framework to cluster time series data. The resulting system, Clus-TS, constructs predictive clustering trees (PCTs) that partition a given set of time series into homogeneous clusters. In addition, PCTs provide a symbolic description of the clusters. We evaluate Clus-TS on time series data from microarray experiments. Each data set records the change over time in the expression level of yeast genes as a response to a change in environmental conditions. Our evaluation shows that Clus-TS is able to cluster genes with similar responses, and to predict the time series based on the description of a gene. Clus-TS is part of a larger project where the goal is to investigate how global models can be combined with inductive databases.sponsorship: This work was supported by the IQ project(IST-FET FP6-516169). Jan Struyf is a postdoctoral fellow of the Fund for Scientific Research of Flanders(FWO-Vlaanderen). (IQ|IST-FET FP6-516169)status: Publishe
A comparison of validation indices for evaluation of clustering results of DNA microarray data
No full textVocabulary of Two Brotherhoods from the 17th Century
No full textOvim radom autor želi istaknuti da su bratovštine na otocima zadarskoga otočja, osim što imaju veliko kulturno, vjersko i nacionalno značenje, u nekim segmentima važne i za razvoj hrvatskoga jezika. Polazeći od pretpostavke da su pravila zadarskih bratovština služila kao uzor seoskima, autor traga za osobitostima
leksika, poglavito nazivoslovlja u dvjema skulama s otoka Silbe i Premude iz 17. stoljeća. U sastavljanju pravila bratovština popovi glagoljaši imali su vodeću ulogu, a ujednačenost leksika, zaključuje autor, odraz je njihova nastojanja da usustave jezik.In this paper, the author attempts to point out how brotherhoods on the islands of the Zadar archipelago, apart from their cultural, religious and national importance, played a significant role in the development of the Croatian language. Assuming that the rules of Zadar brotherhoods served as a model to those of the village,
the author explores the particularities of that vocabulary, primarily terminology in two skulas (brotherhoods) from the islands of Silba and Premuda from the 17th century. In creating rules of brotherhoods, Glagolitic monks played a leading role,
and uniformity of the language, concludes the author, is a reflection of their effort to standardize the language
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