[PDF] Top 20 Distributed Coordinate Descent Method for Learning with Big Data

Distributed Coordinate Descent Method for Learning with Big Data

... two data-dependent quantities: i) the spectral norm of the data (σ) and ii) a partition-induced norm of the data (σ 0 ...the method in the c = 1 ...Hence, data partitioning can be used ... See full document

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The efficiency of big data predictive analytics using integrated LMS tracking technique for learners in e learning

... the Learning Management Systems (LMS), which allows tracking and monitoring of elearners progress, the usage, and other parameters automatically in an efficient ...manner. Big Data analytics becomes ... See full document

8

Deep learning applications and challenges in big data analytics

... of data for business analysis and decisions, impacting existing and future ...Deep Learning algorithms extract high-level, complex abstractions as data representations through a hierarchical ... See full document

21

An improved learning based disaster event using big data analytics

... Disaster management refers to the inclusive approach in all phase of disaster successfully dropping the collision of disaster. Disaster management series consists of the next different phases. Felling, Relief & ... See full document

5

Enormous Information Examination using Big Data in a Distributed Environment with Profound Learning of Next Generation Interruption Identification Framework Enhancement

... accumulation data to highlights, notwithstanding stream insights data, is a decent decision that builds precision and better portrays the dynamic conduct on a ...profound learning is an ideal ... See full document

6

Ensure Security for Mapreduce Hadoop Distributed File System using Encryption Method Over Big Data

... of data resources, it provides a trustworthy big data sharing model dependent upon block chain technology and smart contract ...IS-related data processing unit in automatic style are wanted as ... See full document

8

A Novel Model for Video Recommendation with Multimedia Big Data

... Abstract—With the rapid growth in multimedia services and the enormous offers of video contents in online social networks, users have difficulty in obtaining their interests. Therefore, various personalized ... See full document

5

Big Data with Data Mining P. Nandhini 1, M. Pavithra2 , R. Suganya 2

... Big data is directed to continue rising during the next year and every data scientist will have to handle a large amount of data every year ....This data will be more miscellaneous, ... See full document

10

Hierarchially Distributed Data Matrix Scheme for Big Data Processing

... During subsequent years, several frameworks (for example, MapReduce and Spark) were provided to address increasingly large data sets on the use of specific sets of commodity machines. These frameworks greatly ... See full document

5

SAMOA: Scalable Advanced Massive Online Analysis

... mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and ... See full document

5

Building efficient fuzzy regression trees for large scale and high dimensional problems

... FRT learning algorithms proposed in the literature focus on the accuracy but do not consider the computation complexity and space requirements [33, ...FRT learning approaches purposely designed for managing ... See full document

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A distributed block coordinate descent method for training l1 regularized linear classifiers

... special distributed system with efficient commu- nication is used, speed up has to necessarily ...training data is huge and so the data is forced to reside in distributed nodes, the right ... See full document

35

Group lassoing change-points in piecewise-constant AR processes

... high-dimensional data sets, this article introduces a convex regularization approach enabling efficient and continuous estimation of TV-AR ...block- coordinate descent algorithm is developed to ... See full document

16

Improving the Lexical Function Composition Model with Pathwise Optimized Elastic Net Regression

... the coordinate descent algorithm when cycling around many fea- tures with zero values (as resulting from NMF), which cause fast convergence at the beginning of the regularization path, generating an inaccurate ... See full document

9

Coordinate descent iterations in fast affine projection algorithm

... For an arbitrary , the solution of the system of equations in (6) might be preferable to matrix inversion. Unfortunately, calculations associated with the solution of the system cannot be distributed in time; a ... See full document

5

Efficient clustering of big data using graph method

... the data and computation across multiple ...for data communications in distributed cluster ...the data sent to that particular node doesn’t produce any similarity matrix and ... See full document

5

Weighted Oblique Decision Trees

... the coordinate descent ...square method and linear discrim- inant analysis (Brodley and Utgoff 1995; Loh and Shih 1997; Bennett and Blue 2002; L´opez-Chau et ... See full document

7

Digital security implementation in big data using Hadoop

... of Big Data is of concern. As the amount of data increases, more and more companies of the large repositories of data for the storage, and extraction of ...data. Big data ... See full document

8

Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering

... geographic data (see the review in [5, 11, ...on data clustering, in which there are some researches in the direction of clustering geographical ...geographic data had been published by the research ... See full document

7

MRMR BA: A HYBRID GENE SELECTION ALGORITHM FOR CANCER CLASSIFICATION

... massive data flow. Big data has been becoming more understandable as well as becoming more ...of big data problems using cloud computing ...in big data can be generated by ... See full document

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