Fine-grained multilayer virtualized systems analysis
نویسندگان
چکیده
منابع مشابه
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
In this paper, we propose a novel method for combining deep learning and classical feature based models using a Multi-Layer Perceptron (MLP) network for financial sentiment analysis. We develop various deep learning models based on Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). These are trained on top of pre-trained, autoencoder-based, financi...
متن کاملUltra-Fine Grained Dual-Phase Steels
This paper provides an overview on obtaining low-carbon ultra-fine grained dual-phase steels through rapid intercritical annealing of cold-rolled sheet as improved materials for automotive applications. A laboratory processing route was designed that involves cold-rolling of a tempered martensite structure followed by a second tempering step to produce a fine grained aggregate of ferrite and ca...
متن کاملA Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
In this paper, we propose a novel method for combining deep learning and classical feature based models using a Multi-Layer Perceptron (MLP) network for financial sentiment analysis. We develop various deep learning models based on Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). These are trained on top of pre-trained, autoencoder-based, financi...
متن کاملFine-Grained Checkpointing in Distributed Object Systems
The paper discusses problems of checkpointing in distributed object systems and presents an algorithm suited optimally to their fine-grained structure. Usually, checkpoint algorithms assume nodes or processes as system units. This assumption results in a coarse-grained structure of checkpointing. We will show that this difference in granularity makes usual checkpoint algorithms inadequate. The ...
متن کاملFine-grained Recognition Datasets for Biodiversity Analysis
In the following paper, we present and discuss challenging applications for fine-grained visual classification (FGVC): biodiversity and species analysis. We not only give details about two challenging new datasets suitable for computer vision research with up to 675 highly similar classes, but also present first results with localized features using convolutional neural networks (CNN). We concl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Cloud Computing
سال: 2016
ISSN: 2192-113X
DOI: 10.1186/s13677-016-0069-5