New algorithms in machine learning with applications in personalized medicine

New algorithms in machine learning with applications in personalized medicine

Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.

Bibliographic Details
Main Author:	Zhuo, Ying Daisy
Other Authors:	Dimitris Bertsimas.
Format:	Thesis
Language:	eng
Published:	Massachusetts Institute of Technology 2018
Subjects:	Operations Research Center.
Online Access:	http://hdl.handle.net/1721.1/119284

Similar Items

Machine learning for problems with missing and uncertain data with applications to personalized medicine
by: Pawlowski, Colin.
Published: (2019)

Algorithmic advancements in discrete optimization : applications to machine learning and healthcare operations
by: Pauphilet, Jean(Jean A.)
Published: (2020)

Algorithms for large-scale personalization
by: Li, Andrew A. (Andrew Andi)
Published: (2018)

Interpretable machine learning methods with applications to health care
by: Wang, Yuchen.
Published: (2020)

Integer optimization methods for machine learning
by: Chang, Allison An
Published: (2012)

Interpretable machine learning methods for stroke prediction
by: Zhang, Rebecca
Published: (2020)

The edge of large-scale optimization in transportation and machine learning
by: Martin, Sébastien
Published: (2019)

New neighborhood search algorithms based on exponentially large neighborhoods
by: Ergun, Özlem
Published: (2005)

Leveraging machine learning to solve The vehicle Routing Problem with Time Windows
by: Poullet, Julie(Julie M.)
Published: (2020)

Predictive and prescriptive methods in operations research and machine learning : an optimization approach
by: Mundru, Nishanth.
Published: (2019)

New applications in Revenue Management
by: Thraves Cortés-Monroy, Charles Mark
Published: (2017)

Detecting food safety risks and human tracking using interpretable machine learning methods/
by: Zhu, Jessica H.
Published: (2019)

Algorithms for discrete, non-linear and robust optimization problems with applications in scheduling and service operations
by: Mittal, Shashi, Ph. D. Massachusetts Institute of Technology
Published: (2012)

Personalized diabetes management
by: O'Hair, Allison Kelly
Published: (2013)

Machine learning approaches to challenging problems : interpretable imbalanced classification, interpretable density estimation, and causal inference
by: Goh, Siong Thye
Published: (2018)

Practical applications of large-scale stochastic control for learning and optimization
by: Gutin, Eli
Published: (2019)

Dynamic matching algorithms
by: Burq, Maximilien.
Published: (2019)

Data-driven methods for personalized product recommendation systems
by: Papush, Anna
Published: (2018)

Algorithms for locomotive scheduling
by: Chandra, Anurag, 1977-
Published: (2023)

Approximation algorithms for packing and scheduling problems
by: Correa, José Rafael, 1975-
Published: (2005)

Data-driven algorithms for operational problems
by: Cheung, Wang Chi
Published: (2017)

Algorithmic and game-theoretic perspectives on scheduling
by: Uhan, Nelson A. (Nelson Alexander)
Published: (2009)

Structural and algorithmic aspects of linear inequality systems
by: Lamperski, Jourdain Bernard.
Published: (2021)

Maintenance scheduling for modular systems-models and algorithms
by: Zarybnisky, Eric J. (Eric Jack), 1979-
Published: (2012)

Trust-based design of human-guided algorithms
by: Thomer, Joseph L. (Joseph Louis)
Published: (2008)

Interception algorithm for autonomous vehicles with imperfect information
by: Hickman, Randal E
Published: (2006)

Advances in robust and adaptive optimization : algorithms, software, and insights
by: Dunning, Iain Robert
Published: (2016)

Algorithmic issues in queueing systems and combinatorial counting problems
by: Katz-Rogozhnikov, Dmitriy A
Published: (2009)

Human machine collaborative decision making in a complex optimization system
by: Malasky, Jeremy S
Published: (2006)

Probabilistic models and optimization algorithms for large-scale transportation problems
by: Lu, Jing
Published: (2020)

Modeling and design of material recovery facilities : genetic algorithm approach
by: Testa, Mariapaola
Published: (2015)

Mixed-integer convex optimization : outer approximation algorithms and modeling power
by: Lubin, Miles (Miles C.)
Published: (2018)

Relaxation and exact algorithms for solving mixed integer-quadratic optimization problems
by: Tziligakis, Constantine Nikolaos
Published: (2005)

Multi-modal, multi-period, multi-commodity transportation : models and algorithms
by: Jernigan, Nicholas R. (Nicholas Richard)
Published: (2014)

Support vector machine and parametric wavelet-based texture classification of stem cell images
by: Jeffreys, Christopher G. (Christopher Grey), 1979-
Published: (2005)

Learning together better : the structured design of learning teams
by: Timmers, Kendell M. (Kendell MacQueen), 1978-
Published: (2005)

Assortment and inventory optimization : from predictive choice models to near-optimal algorithms
by: Aouad, Ali (Mohammed Ali)
Published: (2018)

Provably near-optimal algorithms for multi-stage stochastic optimization models in operations management
by: Shi, Cong
Published: (2013)

Learning with structured decision constraints
by: Goh, Chong Yang
Published: (2018)

Prescriptive methods for adaptive learning
by: Lukin, Galit.
Published: (2020)