A learning hierarchy for classification and regression

A learning hierarchy for classification and regression

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

Bibliographic Details
Main Author:	Ajjanagadde, Ganesh
Other Authors:	Gregory Wornell.
Format:	Thesis
Language:	eng
Published:	Massachusetts Institute of Technology 2017
Subjects:	Electrical Engineering and Computer Science.
Online Access:	http://hdl.handle.net/1721.1/112818

Similar Items

Fourier analysis on the hypercube, the coefficient problem, and applications
by: Ajjanagadde, Ganesh.
Published: (2020)

System and hierarchy
by: Cerrato, Peter
Published: (2014)

Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy
by: Bhooshan, Neha
Published: (2006)

A technique for compilation to exposed memory hierarchy
by: Greenwald, Benjamin Eliot, 1975-
Published: (2014)

Genomic variety estimation with Bayesian nonparametric hierarchies
by: Masoero, Lorenzo.
Published: (2019)

Adaptive classification of interfering signals in a shared radio frequency environment
by: Ramaswamy, Ganesh Nachiappa
Published: (2005)

Semantic and data-driven hierarchies for personalized models of affect
by: Liu, Amanda Jin.
Published: (2019)

Redesigning the memory hierarchy for memory-safe programming languages
by: Gan, Yee Ling
Published: (2018)

Locality-aware cache hierarchy management for multicore processors
by: Kurian, George, Ph. D. Massachusetts Institute of Technology
Published: (2015)

Extreme learning machine for classification and regression
by: Zhou, Hongming
Published: (2014)

A numerical analysis of the NPA semidenite programming hierarchy for the Mod P game
by: Abate, Shalom (Shalom A.)
Published: (2017)

LP/SDP hierarchy lower bounds for decoding random LDPC codes
by: Ghazi, Badih
Published: (2015)

Learning visual concepts for image classification
by: Lakshmi Ratan, Aparna
Published: (2013)

Transfer learning algorithms for image classification
by: Quattoni, Ariadna J
Published: (2010)

Blind regression : nonparametric regression for latent variable models via collaborative filtering
by: Song, Dogyoon
Published: (2016)

Fault-tolerant quantum computer architectures using hierarchies of quantum error-correcting codes
by: Cross, Andrew W. (Andrew William), 1979-
Published: (2009)

Investigation of machine learning tools for document clustering and classification
by: Borodavkina, Lyudmila, 1977-
Published: (2005)

Machine learning for patient-adaptive ectopic beat classification
by: Wiens, Jenna Marleau
Published: (2011)

Real-time enveloping with rotational regression
by: Wang, Robert Yuanbo
Published: (2008)

Using ADL for regression test development in a distributed object environment
by: Ding, Eric J. (Eric Jaw-Torng)
Published: (2008)

Representing and querying regression models in a relational database management system
by: Thiagarajan, Arvind
Published: (2008)

Online learning with kernels in classification and regression
by: Li, Guoqi., et al.
Published: (2013)

Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test
by: Souillard-Mandar, William
Published: (2016)

In-situ prediction on sensor networks using distributed multiple linear regression models
by: Basha, Elizabeth (Elizabeth Ann)
Published: (2010)

Blind regression : understanding collaborative filtering from matrix completion to tensor completion
by: Li, Yihua, M. Eng. Massachusetts Institute of Technology
Published: (2016)

Recognition and classification by exploration
by: Chklovski, Timothy A. (Timothy Anatolievich), 1977-
Published: (2009)

Gait analysis for classification
by: Lee, Lily, 1971-
Published: (2005)

A system for the interactive classification of knowledge
by: Balzac, Stephen R
Published: (2005)

A material segmentation and classification system
by: Wong, Jennifer L
Published: (2014)

Extreme learning machine for regression and multiclass classification
by: Huang, Guang-Bin, et al.
Published: (2013)

A classification of reversible bit and stabilizer operations
by: Grier, Daniel
Published: (2015)

Probabilistic pursuit, classification, and speech
by: Chaudhari, Upendra V. (Upendra Vasant), 1968-
Published: (2005)

Text structure-aware classification
by: Dzunic, Zoran, Ph. D. Massachusetts Institute of Technology
Published: (2010)

Frugal hypothesis testing and classification
by: Varshney, Kush R. (Kush Raj)
Published: (2010)

Capnographic analysis for disease classification
by: Asher, Rebecca J. (Rebecca Jennie)
Published: (2013)

Design and analysis of a memory hierarchy for a very high performance multiprocessor configuration
by: Tick, Evan Michael
Published: (2005)

Random vector functional link neural network based deep learning for regression
by: Chion, Jet Herng
Published: (2020)

Empowering novices to understand and use machine learning with personalized image classification models, intuitive analysis tools, and MIT App Inventor
by: Tang, Danny,M. Eng.Massachusetts Institute of Technology.
Published: (2019)

A system for unsupervised color based object classification
by: Preer, Stephen Randolph, 1976-
Published: (2013)

A vehicle classification algorithm based on telematics data
by: Nguyen, Linh Vuong
Published: (2019)