Abstract
The IceCube Neutrino Observatory, a cubic kilometer scale Cherenkov detector deployed in the deep ice at the geographic South Pole, investigates extreme astrophysical phenomena by studying ...the corresponding high-energy neutrino signal. Its discovery of a diffuse flux of astrophysical neutrinos with energies up to the PeV scale in 2013 has triggered a vast effort to identify the mostly unknown sources of these high energy neutrinos. Here, we present a new IceCube point-source search that improves the accuracy of the statistical analysis, especially at energies of a few TeV and below. The new approach is based on multidimensional kernel density estimation for the probability density functions and new estimators for the observables, namely the reconstructed energy and the estimated angular uncertainty on the reconstructed arrival direction. The more accurate analysis provides an improvement in discovery potential up to ∼30% over previous works for hard spectrum sources.
Mass appraisal is the systematic appraisal of groups of properties as of a given date using standardized procedures and statistical testing. Mass appraisal is commonly used to compute real estate ...tax. There are three traditional real estate valuation methods: the sales comparison approach, income approach, and the cost approach. Mass appraisal models are commonly based on the sales comparison approach. The ordinary least squares (OLS) linear regression is the classical method used to build models in this approach. The method is compared with computational intelligence approaches – support vector machine (SVM) regression, multilayer perceptron (MLP), and a committee of predictors in this paper. All the three predictors are used to build a weighted data-depended committee. A self-organizing map (SOM) generating clusters of value zones is used to obtain the data-dependent aggregation weights. The experimental investigations performed using data cordially provided by the Register center of Lithuania have shown very promising results. The performance of the computational intelligence-based techniques was considerably higher than that obtained using the official real estate models of the Register center. The performance of the committee using the weights based on zones obtained from the SOM was also higher than of that exploiting the real estate value zones provided by the Register center.
Niekam nekyla abejonių dėl to, kad gyvename supami daiktiškos, materialios aplinkos. Jos egzistavimo nereikia įrodinėti, pakanka apžvelgti artimą savo aplinką, paliesti netoli esančius daiktus, ...žmones. Lygiai taip pat neabejojame dėl savo vidinės, sakome – psichinės, dvasinės aplinkos. Tačiau, skirtingai nei su regimais dalykais, neregimieji reikalauja nuolat juos pažinti, nuolat su jais kurti savo individualų arba grupei būdingą santykį. Taip yra su žmogaus vidiniu pasauliu, taip yra ir su socialine aplinka: ji nuolat kinta visuomenei keičiantis, kitados galiojusios tvarkos griūna arba yra peržiūrimos ir įvertinamos naujai.
We do not only collect information by the five senses. The human DNA carries vast amounts of information. Scientists are about to calculate human genes. In the light of the present-day endeavour to ...create artificial intelligence, it is worthwhile to ask how information about a human being is recorded in genes, can such information be decoded by applying, for instance, combined methods of linguistics and other sciences, what percentage of our subconscious archives is made of the information stored in the DNA and whether it yields itself to verbal coding and decoding. The search for the answers to these questions would lead us towards cross-disciplinarity, where geneticists, linguistics and technological scientists could expand the limits of human self-knowledge.
Straipsnyje analizuojami šiuo metu nusistovėję dėl nesąžiningos konkurencijos, atskleidus ir pasinaudojus kito ūkio subjekto komercine paslaptimi, veiksmų negauto pelno nustatymo kriterijai, ...vertinamas šių kriterijų teisinis pakankamumas. Taip pat pateikiamas papildomų kriterijų, kuriais būtų galima vadovautis nustatant žalą, įvertinimas.
We do not only collect information by the five senses. The human DNA carries vast amounts of information. Scientists are about to calculate human genes. In the light of the present-day endeavour to ...create artificial intelligence, it is worthwhile to ask how information about a human being is recorded in genes, can such information be decoded by applying, for instance, combined methods of linguistics and other sciences, what percentage of our subconscious archives is made of the information stored in the DNA and whether it yields itself to verbal coding and decoding. The search for the answers to these questions would lead us towards cross-disciplinarity, where geneticists, linguistics and technological scientists could expand the limits of human self-knowledge.
This article provides an analysis of the legal basis (using the institute of civil liability or unjust enrichment) for awarding the benefit of the infringer, derived from unfair competition actions ...upon unlawful disclosure and use of the other entity’s trade secret, to the injured person. The article also deals with the new judicial interpretations in relation to civil liability for unfair competition actions related to awarding of loss of the injured person’s profit and the infringer’s benefit (including the correlation between them), developed by the Supreme Court of Lithuania. The article assesses legal justification for such judicial interpretations and possible negative consequences of their application.
Straipsnyje analizuojama, kokiu teisiniu pagrindu (taikant civilinės atsakomybės ar nepagrįsto praturtėjimo institutą) nukentėjusiam asmeniui turėtų būti priteisiama iš nesąžiningos konkurencijos, neteisėtai atskleidus ir pasinaudojus komercine paslaptimi, veiksmų gauta nauda. Straipsnyje taip pat analizuojami savo turiniu nauji Lietuvos Aukščiausiojo Teismo praktikos išaiškinimai dėl civilinės atsakomybės taikymo už nesąžiningos konkurencijos veiksmus ryšium su nukentėjusio asmens negauto pelno ir iš pažeidimo gautos naudos priteisimu, jų santykiu. Straipsnyje vertinamas tokių išaiškinimų teisinis pagrįstumas bei galimi neigiami padariniai.
Amounts of historical data collected increase and business intelligence applicability with automatic forecasting of time series are in high demand. While no single time series modeling method is ...universal to all types of dynamics, forecasting using an ensemble of several methods is often seen as a compromise. Instead of fixing ensemble diversity and size, we propose to predict these aspects adaptively using meta-learning. Meta-learning here considers two separate random forest regression models, built on 390 time-series features, to rank 22 univariate forecasting methods and recommend ensemble size. The forecasting ensemble is consequently formed from methods ranked as the best, and forecasts are pooled using either simple or weighted average (with a weight corresponding to reciprocal rank). The proposed approach was tested on 12561 micro-economic time-series (expanded to 38633 for various forecasting horizons) of M4 competition where meta-learning outperformed Theta and Comb benchmarks by relative forecasting errors for all data types and horizons. Best overall results were achieved by weighted pooling with a symmetric mean absolute percentage error of 9.21% versus 11.05% obtained using the Theta method.
Šiame straipsnyje yra analizuojamas podėlio sistemos „Redis Cluster“ korektiškumas. Analizuojant sistemą buvo naudojami formalūs metodai – TLA+ specifikavimo kalba buvo sudaryta sistemos formali ...specifikacija. Specifikacijos modelio tikrinimo metu buvo vertinama, ar yra užtikrinama sistemos savybė, kad už vieną maišos lizdą yra atsakingas tik vienas pagrindinis mazgas ir jo pavaldūs mazgai. Atlikus modelio tikrinimą buvo surastos situacijos, kada ši sistemos savybė nėra užtikrinama. Surastos klaidos buvo atkartotos realioje sistemoje ir šioms klaidoms buvo pateikti galimi sprendimo būdai.
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