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You searched for +publisher:"University of Illinois – Urbana-Champaign" +contributor:("Jacobson, Sheldon H."). Showing records 1 – 13 of 13 total matches.

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University of Illinois – Urbana-Champaign

1. Li, Kevin Yu. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 The National Collegiate Athletic Association (NCAA) Men's Division I Basketball Tournament is an annually held basketball tournament between top universities throughout the United States. Along… (more)

Subjects/Keywords: March Madness; National Collegiate Athletic Association (NCAA); Basketball

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APA (6th Edition):

Li, K. Y. (2017). Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Kevin Yu. “Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/99366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Kevin Yu. “Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.” 2017. Web. 07 Dec 2019.

Vancouver:

Li KY. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/99366.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li KY. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99366

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

2. Dutta, Shouvik. Applications of balance optimization subset selection.

Degree: MS, Industrial Engineering, 2016, University of Illinois – Urbana-Champaign

 Balance Optimization Subset Selection (BOSS) is a framework designed to be used for causal inference on observational data. The theoretical foundation for the BOSS framework… (more)

Subjects/Keywords: Subset Selection; Netflix; Basketball; Recommendations

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APA (6th Edition):

Dutta, S. (2016). Applications of balance optimization subset selection. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92872

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dutta, Shouvik. “Applications of balance optimization subset selection.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/92872.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dutta, Shouvik. “Applications of balance optimization subset selection.” 2016. Web. 07 Dec 2019.

Vancouver:

Dutta S. Applications of balance optimization subset selection. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/92872.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dutta S. Applications of balance optimization subset selection. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92872

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

3. Behzad, Banafsheh. Analysis of the United States pediatric immunization market: A game theoretic approach.

Degree: PhD, 0127, 2014, University of Illinois – Urbana-Champaign

 Immunization against infectious diseases is the single factor that has had the most considerable impact on world health. In the United States, the Centers for… (more)

Subjects/Keywords: Game Theory; Operations Research; Immunization; Public Health; Vaccine Pricing

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APA (6th Edition):

Behzad, B. (2014). Analysis of the United States pediatric immunization market: A game theoretic approach. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49720

Chicago Manual of Style (16th Edition):

Behzad, Banafsheh. “Analysis of the United States pediatric immunization market: A game theoretic approach.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/49720.

MLA Handbook (7th Edition):

Behzad, Banafsheh. “Analysis of the United States pediatric immunization market: A game theoretic approach.” 2014. Web. 07 Dec 2019.

Vancouver:

Behzad B. Analysis of the United States pediatric immunization market: A game theoretic approach. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/49720.

Council of Science Editors:

Behzad B. Analysis of the United States pediatric immunization market: A game theoretic approach. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49720


University of Illinois – Urbana-Champaign

4. Baharian Khoshkhou, Golshid. Stochastic sequential assignment problem.

Degree: PhD, 0127, 2014, University of Illinois – Urbana-Champaign

 The stochastic sequential assignment problem (SSAP) studies the allocation of available distinct workers with deterministic values to sequentially-arriving tasks with stochastic parameters so as to… (more)

Subjects/Keywords: sequential assignment; Markov decision process; stationary policy; hidden Markov model; threshold criteria; risk measure

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APA (6th Edition):

Baharian Khoshkhou, G. (2014). Stochastic sequential assignment problem. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50503

Chicago Manual of Style (16th Edition):

Baharian Khoshkhou, Golshid. “Stochastic sequential assignment problem.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/50503.

MLA Handbook (7th Edition):

Baharian Khoshkhou, Golshid. “Stochastic sequential assignment problem.” 2014. Web. 07 Dec 2019.

Vancouver:

Baharian Khoshkhou G. Stochastic sequential assignment problem. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/50503.

Council of Science Editors:

Baharian Khoshkhou G. Stochastic sequential assignment problem. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50503


University of Illinois – Urbana-Champaign

5. Yu, Ge. Dynamic online resource allocation problems.

Degree: PhD, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

 Online resource allocation problems consider assigning a limited number of available resources to sequentially arriving requests with the objective to maximize rewards. With the emergence… (more)

Subjects/Keywords: Online assignment; resource allocation problems

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APA (6th Edition):

Yu, G. (2018). Dynamic online resource allocation problems. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100930

Chicago Manual of Style (16th Edition):

Yu, Ge. “Dynamic online resource allocation problems.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/100930.

MLA Handbook (7th Edition):

Yu, Ge. “Dynamic online resource allocation problems.” 2018. Web. 07 Dec 2019.

Vancouver:

Yu G. Dynamic online resource allocation problems. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/100930.

Council of Science Editors:

Yu G. Dynamic online resource allocation problems. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100930


University of Illinois – Urbana-Champaign

6. Kwon, Hee Youn. New developments in causal inference using balance optimization subset selection.

Degree: PhD, Systems & Entrepreneurial Engr, 2018, University of Illinois – Urbana-Champaign

 Causal inference with observational data has drawn attention across various fields. These observational studies typically use matching methods which find matched pairs with similar covariate… (more)

Subjects/Keywords: Causal Analysis; Optimization; Subset Selection

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APA (6th Edition):

Kwon, H. Y. (2018). New developments in causal inference using balance optimization subset selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100968

Chicago Manual of Style (16th Edition):

Kwon, Hee Youn. “New developments in causal inference using balance optimization subset selection.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/100968.

MLA Handbook (7th Edition):

Kwon, Hee Youn. “New developments in causal inference using balance optimization subset selection.” 2018. Web. 07 Dec 2019.

Vancouver:

Kwon HY. New developments in causal inference using balance optimization subset selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/100968.

Council of Science Editors:

Kwon HY. New developments in causal inference using balance optimization subset selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100968


University of Illinois – Urbana-Champaign

7. Robbins, Matthew J. Exploring pediatric immunization markets using operations research and game theory.

Degree: PhD, 0127, 2010, University of Illinois – Urbana-Champaign

 Vaccination is one of the most important and successful public health endeavors in human history, profoundly reducing mortalities caused by infectious diseases. In the United… (more)

Subjects/Keywords: vaccines; economics; pediatric vaccine formularies; operations research; immunization; game theory; mixed integer non-linear program

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APA (6th Edition):

Robbins, M. J. (2010). Exploring pediatric immunization markets using operations research and game theory. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16896

Chicago Manual of Style (16th Edition):

Robbins, Matthew J. “Exploring pediatric immunization markets using operations research and game theory.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/16896.

MLA Handbook (7th Edition):

Robbins, Matthew J. “Exploring pediatric immunization markets using operations research and game theory.” 2010. Web. 07 Dec 2019.

Vancouver:

Robbins MJ. Exploring pediatric immunization markets using operations research and game theory. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/16896.

Council of Science Editors:

Robbins MJ. Exploring pediatric immunization markets using operations research and game theory. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16896


University of Illinois – Urbana-Champaign

8. Hajbabaie, Ali. Intelligent dynamic signal timing optimization program.

Degree: PhD, 0106, 2012, University of Illinois – Urbana-Champaign

 In this research the development of a signal timing optimization model for oversaturated urban traffic networks with stochastic driver behavior and vehicle arrival headway is… (more)

Subjects/Keywords: Signal Timing; Optimization; Traffic Assignment; Traffic Management; Signal Coordination; Left Turn Management; Traffic Metering; Artificial Intelligence; Genetic Algorithms; Evolution Strategies; Intelligent Transportation System

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APA (6th Edition):

Hajbabaie, A. (2012). Intelligent dynamic signal timing optimization program. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/32023

Chicago Manual of Style (16th Edition):

Hajbabaie, Ali. “Intelligent dynamic signal timing optimization program.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/32023.

MLA Handbook (7th Edition):

Hajbabaie, Ali. “Intelligent dynamic signal timing optimization program.” 2012. Web. 07 Dec 2019.

Vancouver:

Hajbabaie A. Intelligent dynamic signal timing optimization program. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/32023.

Council of Science Editors:

Hajbabaie A. Intelligent dynamic signal timing optimization program. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/32023


University of Illinois – Urbana-Champaign

9. Khatibi, Arash. Generalized sequential assignment problem.

Degree: PhD, Industrial Engineering, 2017, University of Illinois – Urbana-Champaign

 The Sequential Stochastic Assignment Problem (SSAP) deals with assigning sequentially arriving tasks with stochastic parameters to workers with fixed success rates. The reward of each… (more)

Subjects/Keywords: Linear program; Online matching; Secretary problem; Sequential assignment

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APA (6th Edition):

Khatibi, A. (2017). Generalized sequential assignment problem. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97329

Chicago Manual of Style (16th Edition):

Khatibi, Arash. “Generalized sequential assignment problem.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/97329.

MLA Handbook (7th Edition):

Khatibi, Arash. “Generalized sequential assignment problem.” 2017. Web. 07 Dec 2019.

Vancouver:

Khatibi A. Generalized sequential assignment problem. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/97329.

Council of Science Editors:

Khatibi A. Generalized sequential assignment problem. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97329

10. Khatibi, Arash. Modeling the winning seed distribution of the NCAA basketball tournament.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 The National Collegiate Athletic Association's (NCAA) men's division I college basketball tournament is an annual competition that draws widespread attention in the United States. Estimating… (more)

Subjects/Keywords: Bracket Challenge; NCAA Tournament

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APA (6th Edition):

Khatibi, A. (2016). Modeling the winning seed distribution of the NCAA basketball tournament. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khatibi, Arash. “Modeling the winning seed distribution of the NCAA basketball tournament.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/95338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khatibi, Arash. “Modeling the winning seed distribution of the NCAA basketball tournament.” 2016. Web. 07 Dec 2019.

Vancouver:

Khatibi A. Modeling the winning seed distribution of the NCAA basketball tournament. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/95338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khatibi A. Modeling the winning seed distribution of the NCAA basketball tournament. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Sauppe, Jason James. Balance Optimization Subset Selection: a framework for causal inference with observational data.

Degree: PhD, Computer Science, 2015, University of Illinois – Urbana-Champaign

 Observational data are prevalent in many fields of research, and it is desirable to use this data to explore potential causal relationships. Additional assumptions and… (more)

Subjects/Keywords: optimization; causal inference; operations research

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APA (6th Edition):

Sauppe, J. J. (2015). Balance Optimization Subset Selection: a framework for causal inference with observational data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88049

Chicago Manual of Style (16th Edition):

Sauppe, Jason James. “Balance Optimization Subset Selection: a framework for causal inference with observational data.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/88049.

MLA Handbook (7th Edition):

Sauppe, Jason James. “Balance Optimization Subset Selection: a framework for causal inference with observational data.” 2015. Web. 07 Dec 2019.

Vancouver:

Sauppe JJ. Balance Optimization Subset Selection: a framework for causal inference with observational data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/88049.

Council of Science Editors:

Sauppe JJ. Balance Optimization Subset Selection: a framework for causal inference with observational data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88049

12. King, Douglas. Graph theory models and algorithms for political districting: an approach to inform public policy.

Degree: PhD, 0127, 2012, University of Illinois – Urbana-Champaign

 Political districting is an intractable problem with significant ramifications for political representation. Districts are often required to satisfy some legal constraints, but these are typically… (more)

Subjects/Keywords: Operations research; Political districting; Plane graph theory; Local search

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

King, D. (2012). Graph theory models and algorithms for political districting: an approach to inform public policy. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/30931

Chicago Manual of Style (16th Edition):

King, Douglas. “Graph theory models and algorithms for political districting: an approach to inform public policy.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/30931.

MLA Handbook (7th Edition):

King, Douglas. “Graph theory models and algorithms for political districting: an approach to inform public policy.” 2012. Web. 07 Dec 2019.

Vancouver:

King D. Graph theory models and algorithms for political districting: an approach to inform public policy. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/30931.

Council of Science Editors:

King D. Graph theory models and algorithms for political districting: an approach to inform public policy. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/30931

13. Morrison, David. New methods for branch-and-bound algorithms.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Branch-and-bound (B&B) algorithms, and extensions such as branch-and-price (B&P) are powerful tools for optimization. These algorithms are used in a wide variety of settings, and… (more)

Subjects/Keywords: branch-and-bound; branch-and-price; search strategies; zero-suppressed binary decision diagrams; wide branching; graph coloring; mixed integer programming

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APA (6th Edition):

Morrison, D. (2014). New methods for branch-and-bound algorithms. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50713

Chicago Manual of Style (16th Edition):

Morrison, David. “New methods for branch-and-bound algorithms.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 07, 2019. http://hdl.handle.net/2142/50713.

MLA Handbook (7th Edition):

Morrison, David. “New methods for branch-and-bound algorithms.” 2014. Web. 07 Dec 2019.

Vancouver:

Morrison D. New methods for branch-and-bound algorithms. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/2142/50713.

Council of Science Editors:

Morrison D. New methods for branch-and-bound algorithms. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50713

.