Online Censoring for Large-Scale Regressions with Application to Streaming Big Data - 2016


On par with data-intensive applications, the sheer size of contemporary linear regression issues creates an ever-growing demand for efficient solvers. Fortunately, a significant share of the info accrued will be omitted while maintaining a bound quality of statistical inference with an inexpensive computational budget. This work introduces means of identifying and omitting less informative observations in an on-line and data-adaptive fashion. Given streaming knowledge, the related most-probability estimator is sequentially found using 1st- and second-order stochastic approximation algorithms. These schemes are well matched when data are inherently censored or when the aim is to save communication overhead in decentralized learning setups. In a very totally different operational state of affairs, the task of joint censoring and estimation is put forth to solve giant-scale linear regressions during a centralized setup. Novel on-line algorithms are developed enjoying straightforward closed-form updates and provable (non)asymptotic convergence guarantees. To attain desired censoring patterns and levels of dimensionality reduction, thresholding rules are investigated too. Numerical tests on real and artificial datasets corroborate the efficacy of the proposed knowledge-adaptive strategies compared to data-agnostic random projection-primarily based alternatives.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Research on Kano Model Based on Online Comment Data Mining - 2018ABSTRACT:The opinion mining and also the sentiment analysis of the network comment are the key points of the text analysis. By excavating the comment
PROJECT TITLE :GPU-Accelerated High-Throughput Online Stream Data Processing - 2018ABSTRACT:The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs) makes them perfect for parallel processing
PROJECT TITLE :Online Scaling of NFV Service Chains Across Geo-Distributed Datacenters - 2018ABSTRACT:Network Function Virtualization (NFV) is an emerging paradigm that turns hardware-dependent implementation of network functions
PROJECT TITLE :Online Aggregation of the Forwarding Information Base: Accounting for Locality and Churn - 2018ABSTRACT:This Project studies the problem of compressing the forwarding info base (FIB), but taking a wider perspective.
PROJECT TITLE :Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis - 2018ABSTRACT:Data will be disseminated widely and rapidly through Online Social Networks (OSNs) with “word-of-mouth”

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry