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18 eredmény a kulcsszóra: 'deep learning'

Összefoglaló helyzetjelentés

lióval állott magasabban. A leszálmitol't váltók és előlegek állaga a mult évi 554 millióról 32 millió- val 521'3 millióra esett. Az előző havival szemben azonban 63

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A vastagbéldaganat kialakulásának in situ és perifériás vér biomarkerei

Hat vastagbél tumoros (közepesen differenciált, bal oldali, II. stádiumú) beteg sebészeti mintájából izolált RNS minta reverz transzkripcióját követően,

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A SZENTHÁROMSÁG A XVIII. SZÁZADI REFORMÁTUS NÉPI LÁTOMÁSOKBAN

Igen nagy békességestüréssel voltának az О Testa- mentomi hivek, legfőképen Jób, mind az által nem vala nékik ollyan vi- gasztalások, mint az Uj Testamentomi Híveknek, azért

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In situ and peripheral biomarkers of development of colorectal cancer

For studying the effect of SEPT9 methylation on protein expression, 10 healthy, 14 adenoma (villous and tubulovillous) and 13 colorectal cancer (stage II and III) biopsy

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SOCIÁLNE VEDY Z PERSPEKTÍVY MLADÝCH VEDECKÝCH PRACOVNÍKOV III.

Numerous documents aiming to establish the legal framework for cross- border cooperation have been produced, including the Madrid Convention (1980) and the

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A vastagbéldaganat kialakulásának in situ és perifériás vér biomarkerei

Mead és mtsai [157] egészséges, adenomás és tumoros páciensek plazma mintáiból határozták meg a keringő szabad DNS szintet, és szignifikáns különbséget

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Required reading

• Has deep knowledge of scientific theories of learning, the strategies and methods of learning and the methods of supporting learning and teaching, has an understanding

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TRADITIONAL OR DEEP LEARNING FOR SENTIMENT ANALYSIS: A REVIEW

We reviewed deep learning and traditional machine learning models’ papers for sentiment analysis; most machine learning models either used Naïve Bayes or SVM algorithms to classify

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Course Description EDUM-112 Learning Environments Leading Lecturer: Orsolya Kálmán PhD

• Has deep knowledge of scientific theories of learning, the strategies and methods of learning and the methods of supporting learning and teaching.. Has an understanding of the

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Automatic Recognition of Anatomical Regions in Computed Tomography Images

anatomy region recognition, deep learning, image classification, imaging informatics, medical image processing..

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Overview on Renewable Energy in Agriculture and Forestry in  Ukraine

3 Program “Ethanol” (adopted on 4.07.2000); Conception of the Program for biodiesel production till 2010 (adopted on 28.12.05); Program for biodiesel production till 2010

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Required reading

• Has deep knowledge of scientific theories of learning, the strategies and methods of learning and teaching, has an understanding of the role of various

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Detecting pedestrians in surveillance videos based on Convolutional Neural Network and Motion

In [13], the authors proposed a joint deep learning framework and a new deep network architecture that jointly learns feature extraction, deformation handling, occlusion handling,

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Detecting pedestrians in surveillance videos based on Convolutional Neural Network and Motion

In [13], the authors proposed a joint deep learning framework and a new deep network architecture that jointly learns feature extraction, deformation handling, occlusion handling,

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DomonkosVarga ,Tam´asSzir´anyi PersonRe-identificationbasedonDeepMulti-instanceLearning

Traditional algorithms in person re-identification are usually based on hand-crafted feature extraction and distance metric learning.. Deep learning architectures have captured

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2 PLANNER DESIGN WITH DEEP REINFORCEMENT LEARNING 2.1 Reinforcement Learning

1: In each episode, the agent re- ceives the initial conditions and the target for trajec- tory planning and calculates the interior points of the trajectory, then we drive a

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PROCESSING CONDITIONS AND THEIR EFFECT ON HOMOGENEITY  OF PPVC STRUCTURAL CHARACTERISTICS

Limiting oxygen index test (L.O.I) and differential scanning calorimetry (DSC), fourier transform infrared spectroscopy (FTIR), and scanning electron microscope

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XV. Magyar Számítógépes Nyelvészeti Konferencia Szeged, 2019. január 24–25.

Keywords: Spoken Language Understanding (SLU), intent detection, Convolutional Neural Networks, residual connections, deep learning, neural networks.. 1

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