搜索资源列表
Transfer Learning with an Ensemble of Background Tasks
- boosting for transfer learning
基于贝叶斯网络的半监督聚类集成模型
- 已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下的具体算法;第三,从UCI(University of Ca
revue_i3_05_01_02
- Cet article présente une méthodologie pour intégrer un nouveau type de contraintes, formées de relations spatiales, dans des modèles déformables. Les relations spatiales telles que les directions, les distances, les adjacences ou les symétries,
coursJava
- Java fait partie de la famille des langages de classes, une application Java est formée d un ensemble de classes. Celles-ci permettent de définir des types d objets avec leurs opérations spécifiques. Les entités manipulées dans le programme sont
EEMDSpectralAnalysis
- 全称为Ensemble Empirical Mode Decomposition (集合经验模分解)(Wu and Huang, 2009)，是EMD（经验模分解）(Huang et al. 1998 Huang and Wu, 2008)的改进算法，有效的解决了EMD的混频现象。 -Called the Ensemble Empirical Mode Decomposition (a collection of empirical mode decomposition) (Wu and Hua
UMLCours2012
- Un diagramme de cas présente un ensemble d acteurs et de cas d utilisation avec leurs relations
Neural-Network-Ensemble
- 神经网络集成，集成了最近几年一些关于神经网络发展的文献，适合深入了解的筒子学习-Neural network integration, integration in recent years some of the literature on the development of neural networks, suitable for in-depth understanding of the cheese learning
EIH-model
- 就超音速飞行体产生的激波脉冲识别展开研究，分析丁目标信号的脉冲特性和基于EIH (Ensemble Interval Histogram)模型的波形特征提取方法．分析了EIH模型在波形结梅特征提取的过程中存在的问题，提出了一种自适应EIH模型．-Supersonic shock pulse recognition study, analysis of the signal pulse characteristics of the small target and EIH (Ensemble
ensemble-learning
- 主要讲述深度学习的一篇很有用很有用的论文，是最初提出来的，很好，很有帮助-Focuses on the depth of learning a useful useful papers, initially proposed, very good, very helpful
BDD-vue-densemble
- base de données vue d ensemble
01._THE_MULTI-DIMENSIONAL_ENSEMBLE_EMPIRICAL_MODE
- A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi dimensional data (such as images or solid with variable density) is proposed here. The decomposition is based on the applications of ensemble empirical mode decomposition
semigrand_698F
- Semi-grand ensemble simulations and Gibbs-Duhemintegration
Observability--Ensemble-averaging-and-GPS-time.ra
- Remote control is a good way to perform tasks in dangerous or hard-to-reach areas, or to broaden the number of users on a localized test-bed. The web technology on the Internet now appears as a natural, cheap way to ensure the communication link in
TRADEMARK-CLASSIFICATION-BY-SHAPE-USING-ENSEMBLE-
- TRADEMARK CLASSIFICATION BY SHAPE USING ENSEMBLE OF
GSI-3DVar-Based-Ensemble
- 3DVar-Based Ensemble–Variational Hybrid Data Assimilation for NCEP 基于三维变分和集合方法的耦合研究 -GSI 3DVar-Based Ensemble–Variational Hybrid Data Assimilation for NCEP
FACE-RECOGNITION-USING-ENSEMBLE-STRING-MATCHING.r
- FACE RECOGNITION USING ENSEMBLE STRING MATCHING
61(Spectral-Clustering-Ensemble-Applied-to-SAR-im
- spectral clustering ensemble to SAR image segmentation.
2--A-survey-of-clustering-ensemble-algorithms-(IJ
- 2- A survey of clustering ensemble algorithms (IJPRAI)
11---A-Survey-of-Cluster-Ensemble-10
- 11 - A Survey of Cluster Ensemble-10
Improved Ensemble Empirical Mode Decomposition
- Improved Ensemble Empirical Mode Decomposition and its Applications to Gearbox Fault Signal Processing, Keywords: Complementary Ensemble Empirical Mode Decomposition(CEEMD), Improved Complementary Ensemble Empirical Mode Decomposition(ICEEMD), Gearbo