Search results for "boost"
showing 10 items of 169 documents
Boosting for ranking data: an extension to item weighting
2021
Gli alberi decisionali sono una tecnica predittiva di machine learning particolarmente diffusa, utilizzata per prevedere delle variabili discrete (classificazione) o continue (regressione). Gli algoritmi alla base di queste tecniche sono intuitivi e interpretabili, ma anche instabili. Infatti, per rendere la classificazione più affidabile si `e soliti combinare l’output di più alberi. In letteratura, sono stati proposti diversi approcci per classificare ranking data attraverso gli alberi decisionali, ma nessuno di questi tiene conto ne dell’importanza, ne delle somiglianza dei singoli elementi di ogni ranking. L’obiettivo di questo articolo `e di proporre un’estensione ponderata del metodo …
Design and Modeling of an Interleaving Boost Converter with Quasi-Saturated Inductors for Electric Vehicles
2020
This paper is focused on the analysis and modeling of DC-DC boost converters in interleaving configuration exploiting inductors in the quasi-saturation region. The converter is designed to optimize the power density by minimizing the size of the inductors. A simulation study for electric vehicle applications is conducted analyzing the effects of duty cycle and temperature variation on the ripple of the input current giving, moreover, information on the performances and dynamics of the converter for further implementation and optimizations.
Measurement of top-quark polarisation observables and a search for dark matter in single-top-quark production with the ATLAS detector at the LHC
2022
Esta tesis presenta dos análisis diferentes basados en los datos resultantes de colisiones protón-protón a una energía en el centro de masas de 13 TeV recolectados con el detector ATLAS del LHC, correspondientes a una luminosidad integrada de 139 fb$^{-1}$. El primer análisis presenta una medida de secciones eficaces diferenciales normalizadas del canal de producción de quarks top en solitario $t$-channel, donde el quark top se desintegra leptónicamente, como función de los tres ángulos de polarización del leptón para eventos con quarks top y quarks antitop tanto separadamente como de forma inclusiva. Estos observables son particularmente sensibles a efectos de nueva física en el vértice $t…
Face and politeness in the dialogues of mother and daughter of the comedy series Absolutely Fabulous
1999
Uz administratīvajiem datiem balstīta zāļu devas prognozēšanas modeļa izstrāde
2022
Darbs veltīts zāļu devas prognozēšanas modeļa izstrādei, balstoties uz administratīvajiem datiem. Informācija par precīzu pacientam noteikto zāļu lietošanas devu ir nepieciešama dažādos (farmako)epidemioloģiska rakstura pētījumos, kā piemēram, zāļu līdzestības novērtēšana starp konkrētu medikamentu lietotājiem. Tomēr pētniekiem pieejamajos Latvijas administratīvajos datos šādas informācijas nav. Lai prognozētu zāļu devu, izmantojot pacientu raksturojošus rādītājus (demogrāfiskie faktori, blakusslimības), darbā veidoti un salīdzināti vairāki prognozēšanas modeļi: ordinālā regresija, gadījuma meža algoritms un XGBoost. Datu apstrādes un aprēķinu veikšanai tika izmantota datorprogramma R.
Izslēgšanas metode XGBoost algoritmam
2019
Tika izpētīta izslēgšanas metode, DART algoritms, XGBoost algoritms un XGBoost algoritma hiperparametri (α, λ, γ, srinkage un subsample), kas saistīti ar modeļa regularizāciju un pārpielāgošanas samazināšanu. Tika izpētīti un attēloti izslēgšanas metodes un XGBoost hiperparametru efekti uz atsevišķu lēmumu koku ietekmi uz ansambļa prognozi un efekti uz modeļu pārpielāgošanos. Iegūtie attēli tika salīdzināti starp izslēgšanas metodi, XGBoost modeļiem ar regularizācijas hiperparametriem un XGBoost modeli bez regularizācijas.
Koneoppimisen hyödyntäminen konenäössä
2016
Konenäön hyödyntäminen yleistyy ja sitä mukaa myös konenäön ongelmat monimutkaistuvat. Yksi suosittu tapa ratkaista näitä ongelmia on hyödyntää koneoppimista. Tässä tutkielmassa tarkastellaan miten koneoppimista hyödynnetään konenäössä ja vertaillaan eri koneoppimisalgoritmeja konenäön näkökulmasta. omputer Vision faces increasing challenges as its used more. Common way to solve these complex problems is to use Machine Learning. In this thesis workings of different Machine Learing algorithms are looked on and their advantages and disadvantages are compared.
Output Impedance Improvement Using Coupled Inductors
2017
When using a single DC/DC converter with multiple outputs and having a buck topology, which has one filter inductor per output, the designer can choose to couple these outputs together. This paper demonstrates additional benefits of coupling output inductors together. Apart from saving mass and volume, and due to an improved small signal behaviour it also reduces the output impedance of the regulated output. The paper will analyse a seven output push-pull converter used as a space power converter module and verify the theoretical results with experimental measurements.
Boost Me: Prevalence and Reasons for the Use of Stimulant Containing Pre Workout Supplements Among Fitness Studio Visitors in Mainz (Germany).
2018
The rapidly increasing interest in fitness related sports over the past few years has been accompanied by a booming industry of nutritional supplements. Many of these substances have unproven benefits and are even potentially harmful to the user. The aim of this study was to determine the prevalence and reasons for nutritional supplement (NS) use among fitness studio visitors in Mainz (Germany), emphasizing new multi-ingredient based supplements such as pre workout boosters (PWBs). Some of the PWBs contain stimulants such as DMAA, N,α-DEPEA, DMAE and DMBA with so far unknown risks, harms and benefits. Four-Hundred and Ninety Two participants in 13 fitness studios completed a questionnaire o…
A boosting approach for prostate cancer detection using multi-parametric MRI
2015
International audience; Prostate cancer has been reported as the second most frequently diagnosed men cancers in the world. In the last decades, new imaging techniques based on MRI have been developed in order to improve the diagnosis task of radiologists. In practise, diagnosis can be affected by multiple factors reducing the chance to detect potential lesions. Computer-aided detection and computer-aided diagnosis have been designed to answer to these needs and provide help to radiologists in their daily duties. In this study, we proposed an automatic method to detect prostate cancer from a per voxel manner using 3T multi-parametric Magnetic Resonance Imaging (MRI) and a gradient boosting …