• Aucun résultat trouvé

[PDF] Top 20 Model Averaging in Large Scale Learning

Has 10000 "Model Averaging in Large Scale Learning" found on our website. Below are the top 20 most common "Model Averaging in Large Scale Learning".

Model Averaging in Large Scale Learning

Model Averaging in Large Scale Learning

... Additionally, the fact that data can be relatively easily shared implies that computing resources can be outsourced and used when needed. Cloud computing solutions offer on demand com- puting resources. This has only ... Voir le document complet

179

A Large-Scale Model for Dissolution in Heterogeneous Porous Media

A Large-Scale Model for Dissolution in Heterogeneous Porous Media

... upscaling, Large-scale model, Darcy-scale heterogeneity, Dissolution Abstract Dissolution of pore-scale soluble substances occurs in applications from environmental hydrogeology ... Voir le document complet

3

Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning

Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning

... for large-scale distributed data ...setting, in which data points are par- titioned across different machines which operate on their partition in ...aspects in order to ease the ... Voir le document complet

17

Ensembles of models in fMRI : stable learning in large-scale settings

Ensembles of models in fMRI : stable learning in large-scale settings

... In this chapter, we introduce some of the concepts required to gain an overall picture of how machine learning can help us to understand the functional structure of the ...data. In addition, ... Voir le document complet

147

Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material)

Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material)

... FEDERATED LEARNING IN DISTRIBUTED MEDICAL DATABASES: META-ANALYSIS OF LARGE-SCALE SUBCORTICAL BRAIN DATA (SUPPLEMENTARY MATERIAL) Santiago Silva 1 , Boris ... Voir le document complet

2

Decomposition, Localization and Time-Averaging Approaches in Large-Scale Power System Dynamic Simulation

Decomposition, Localization and Time-Averaging Approaches in Large-Scale Power System Dynamic Simulation

... machines in the ...operated in a secure ...A large part of this research took place in the context of the PEGASE project, supported by European Commission (Seventh Frame- work Programme) and ... Voir le document complet

206

Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning

Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning

... Zero-shot learning aims to recognize instances of unseen classes, for which no visual instance is available during training, by learning mul- timodal relations between samples from seen classes and ... Voir le document complet

12

Comparison of large woody debris prototypes in a large scale non-flume physical model

Comparison of large woody debris prototypes in a large scale non-flume physical model

... rainfall in June of 2013, several rivers located in and near the City of Calgary, Canada experienced significant flooding ...interest in flood control and mitigation strategies for the ...A ... Voir le document complet

9

Predicting file downloading time in cellular network: Large-Scale analysis of machine learning approaches

Predicting file downloading time in cellular network: Large-Scale analysis of machine learning approaches

... delivery. In client-based pull delivery (see Figure 10-a), the client should first get the manifest file from the content provider and the cell network status from the network ...option in the manifest ... Voir le document complet

37

Using a cropping system model for large scale impact assessment in Europe

Using a cropping system model for large scale impact assessment in Europe

... progress in the sense of identifying landscape quality objectives, which should depend on the public demand of these landscapes, ...European Model of Agriculture, which stresses the territorial role of ... Voir le document complet

579

A model of bubble-induced turbulence based on large-scale wake interactions

A model of bubble-induced turbulence based on large-scale wake interactions

... distributed in a uniform ...bubbles in a computational domain of a hundred bubble diameters, which corresponds to a gas volume fraction α from ...simple model reproduces well all the statistical ... Voir le document complet

27

Large scale effects in turbulence

Large scale effects in turbulence

... spectrum in the large scales for statistically stationary solutions. In the inertial range, the dynamic of the system is often described using the image of the Richardson cascade [ 3 ] where ... Voir le document complet

235

A model of bubble-induced turbulence based on large-scale wake interactions

A model of bubble-induced turbulence based on large-scale wake interactions

... distributed in a uniform ...bubbles in a computational domain of a hundred bubble diameters, which corresponds to a gas volume fraction α from ...simple model reproduces well all the statistical ... Voir le document complet

28

Broadcasting on Large Scale Heterogeneous Platforms under the Bounded Multi-Port Model

Broadcasting on Large Scale Heterogeneous Platforms under the Bounded Multi-Port Model

... a large message onto an heterogeneous ...multi-port model to model the communi- cation capabilities of the ...This model encompasses the benefits of both bounded multi-port model and ... Voir le document complet

12

The Climate CoLab: Large scale model-based collaborative planning

The Climate CoLab: Large scale model-based collaborative planning

... plans in the current version of the system are based on a single composite model that combines multiple smaller ...composite model is the C- LEARN model, a web-based version of C- ROADS ...use ... Voir le document complet

10

Large-scale semi-supervised learning with online spectral graph sparsification

Large-scale semi-supervised learning with online spectral graph sparsification

... edges. After constructing the graph, we randomly select two points from the uppermost and and two from lower- most cluster as our labeled set S. We then run sparse-HFS to compute H and e f , and run stable-HFS on G to ... Voir le document complet

6

Large-scale physical model studies for an atrium smoke exhaust system

Large-scale physical model studies for an atrium smoke exhaust system

... shown in Figure 23 for smoke temperatures of 5°C, 10°C, 25°C, 50°C, 75°C, 100°C, 125°C, and 150°C above ambient using a Froude number of ...measured in the physical model tests. For the ... Voir le document complet

26

Broadcasting on Large Scale Heterogeneous Platforms under the Bounded Multi-Port Model

Broadcasting on Large Scale Heterogeneous Platforms under the Bounded Multi-Port Model

... a large message at an optimal rate in a large scale distributed network under the multi-port communi- cation ...model. In this context, we are interested in both building ... Voir le document complet

24

Extensive deep neural networks for transferring small scale learning to large scale systems

Extensive deep neural networks for transferring small scale learning to large scale systems

... approach in the computer vision/articial intelligence ...the learning process can restrict it to local minima), and from somewhat of a philosophical point of ...view. In deep learning, ... Voir le document complet

14

Meta-Mining Evaluation Framework : A large scale proof of concept on Meta-Learning

Meta-Mining Evaluation Framework : A large scale proof of concept on Meta-Learning

... described in the previous section yields a performance measure for each of those thousands of ...experiments. In practice, it takes the form of an important database, which can be seen as a population of ... Voir le document complet

15

Show all 10000 documents...