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You searched for +publisher:"University of Michigan" +contributor:("Irani, Keki B."). Showing records 1 – 11 of 11 total matches.

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University of Michigan

1. Fayyad, Usama Mohammad. On the induction of decision trees for multiple concept learning.

Degree: PhD, Electrical engineering, 1991, University of Michigan

 We focus on developing improvements to algorithms that generate decision trees from training data. This dissertation makes four contributions to the theory and practice of… (more)

Subjects/Keywords: Concept; Decision; Induction; Machine Learning; Multiple; Trees

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APA (6th Edition):

Fayyad, U. M. (1991). On the induction of decision trees for multiple concept learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/128810

Chicago Manual of Style (16th Edition):

Fayyad, Usama Mohammad. “On the induction of decision trees for multiple concept learning.” 1991. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/128810.

MLA Handbook (7th Edition):

Fayyad, Usama Mohammad. “On the induction of decision trees for multiple concept learning.” 1991. Web. 22 Oct 2020.

Vancouver:

Fayyad UM. On the induction of decision trees for multiple concept learning. [Internet] [Doctoral dissertation]. University of Michigan; 1991. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/128810.

Council of Science Editors:

Fayyad UM. On the induction of decision trees for multiple concept learning. [Doctoral Dissertation]. University of Michigan; 1991. Available from: http://hdl.handle.net/2027.42/128810


University of Michigan

2. Ryu, Kwang Ryel. Learning search control knowledge for planning with conjunctive goals.

Degree: PhD, Computer, Information and Control Engineering, 1992, University of Michigan

 Significant results of research are available in the area of learning search control knowledge for problem solving. However, previous systems that derive goal ordering rules… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Ryu, K. R. (1992). Learning search control knowledge for planning with conjunctive goals. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/102974

Chicago Manual of Style (16th Edition):

Ryu, Kwang Ryel. “Learning search control knowledge for planning with conjunctive goals.” 1992. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/102974.

MLA Handbook (7th Edition):

Ryu, Kwang Ryel. “Learning search control knowledge for planning with conjunctive goals.” 1992. Web. 22 Oct 2020.

Vancouver:

Ryu KR. Learning search control knowledge for planning with conjunctive goals. [Internet] [Doctoral dissertation]. University of Michigan; 1992. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/102974.

Council of Science Editors:

Ryu KR. Learning search control knowledge for planning with conjunctive goals. [Doctoral Dissertation]. University of Michigan; 1992. Available from: http://hdl.handle.net/2027.42/102974


University of Michigan

3. Cheng, Jie. Deriving subgoal ordering constraints prior to problem solving and planning.

Degree: PhD, Computer, Information and Control Engineering, 1991, University of Michigan

 Subgoal ordering is an important search control strategy in planning and problem solving. Failure to properly order problem subgoals may result in less optimal problem… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Cheng, J. (1991). Deriving subgoal ordering constraints prior to problem solving and planning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/105353

Chicago Manual of Style (16th Edition):

Cheng, Jie. “Deriving subgoal ordering constraints prior to problem solving and planning.” 1991. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/105353.

MLA Handbook (7th Edition):

Cheng, Jie. “Deriving subgoal ordering constraints prior to problem solving and planning.” 1991. Web. 22 Oct 2020.

Vancouver:

Cheng J. Deriving subgoal ordering constraints prior to problem solving and planning. [Internet] [Doctoral dissertation]. University of Michigan; 1991. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/105353.

Council of Science Editors:

Cheng J. Deriving subgoal ordering constraints prior to problem solving and planning. [Doctoral Dissertation]. University of Michigan; 1991. Available from: http://hdl.handle.net/2027.42/105353


University of Michigan

4. Dorais, Gregory Allen. An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models.

Degree: PhD, Computer science, 1997, University of Michigan

 CAFECS (Classification and Forecasting Evolutionary Computation System), a hybrid of genetic algorithms and Evolution Strategies, is introduced. Its purpose is to develop and optimize discrete-time… (more)

Subjects/Keywords: Approach; Classification; Computation; Developing; Discrete; Evolutionary; Forecasting; Forecastingclassification; Models; Optimizing; Time

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APA (6th Edition):

Dorais, G. A. (1997). An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130460

Chicago Manual of Style (16th Edition):

Dorais, Gregory Allen. “An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models.” 1997. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/130460.

MLA Handbook (7th Edition):

Dorais, Gregory Allen. “An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models.” 1997. Web. 22 Oct 2020.

Vancouver:

Dorais GA. An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models. [Internet] [Doctoral dissertation]. University of Michigan; 1997. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/130460.

Council of Science Editors:

Dorais GA. An evolutionary computation approach for developing and optimizing discrete-time forecasting and classification models. [Doctoral Dissertation]. University of Michigan; 1997. Available from: http://hdl.handle.net/2027.42/130460


University of Michigan

5. Qian, Zhaogang. Nonmonotonic reasoning: Semantics and applications to induction.

Degree: PhD, Computer, Information, and Control Engineering, 1991, University of Michigan

 This thesis is an investigation of the formalization of nonmonotonic reasoning in two important aspects of human and machine intelligence, namely, default reasoning and induction.… (more)

Subjects/Keywords: Artificial Intelligence; Computer Science

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APA (6th Edition):

Qian, Z. (1991). Nonmonotonic reasoning: Semantics and applications to induction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/105766

Chicago Manual of Style (16th Edition):

Qian, Zhaogang. “Nonmonotonic reasoning: Semantics and applications to induction.” 1991. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/105766.

MLA Handbook (7th Edition):

Qian, Zhaogang. “Nonmonotonic reasoning: Semantics and applications to induction.” 1991. Web. 22 Oct 2020.

Vancouver:

Qian Z. Nonmonotonic reasoning: Semantics and applications to induction. [Internet] [Doctoral dissertation]. University of Michigan; 1991. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/105766.

Council of Science Editors:

Qian Z. Nonmonotonic reasoning: Semantics and applications to induction. [Doctoral Dissertation]. University of Michigan; 1991. Available from: http://hdl.handle.net/2027.42/105766


University of Michigan

6. Straub, Nef. Behavioral choice in an electronic nervous system.

Degree: PhD, Computer science, 1995, University of Michigan

 Much of neural network research being done is performed in simulation, with simple, uniform neuron models and connectivities, and using discrete activity and evaluation steps.… (more)

Subjects/Keywords: Behavioral; Choice; Electronic; Nervous; Neural Networks; Robotics; Syste; System

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APA (6th Edition):

Straub, N. (1995). Behavioral choice in an electronic nervous system. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/129815

Chicago Manual of Style (16th Edition):

Straub, Nef. “Behavioral choice in an electronic nervous system.” 1995. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/129815.

MLA Handbook (7th Edition):

Straub, Nef. “Behavioral choice in an electronic nervous system.” 1995. Web. 22 Oct 2020.

Vancouver:

Straub N. Behavioral choice in an electronic nervous system. [Internet] [Doctoral dissertation]. University of Michigan; 1995. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/129815.

Council of Science Editors:

Straub N. Behavioral choice in an electronic nervous system. [Doctoral Dissertation]. University of Michigan; 1995. Available from: http://hdl.handle.net/2027.42/129815


University of Michigan

7. Naji, Ahmed Riaz. Performance study of a clustered shared memory multiprocessor.

Degree: PhD, Electrical engineering, 1988, University of Michigan

 A shared memory multiprocessor having clusters of processing elements and memory modules is proposed. Since the delay through a multistage interconnection network, which increases logarithmically,… (more)

Subjects/Keywords: Engineering

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APA (6th Edition):

Naji, A. R. (1988). Performance study of a clustered shared memory multiprocessor. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162103

Chicago Manual of Style (16th Edition):

Naji, Ahmed Riaz. “Performance study of a clustered shared memory multiprocessor.” 1988. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/162103.

MLA Handbook (7th Edition):

Naji, Ahmed Riaz. “Performance study of a clustered shared memory multiprocessor.” 1988. Web. 22 Oct 2020.

Vancouver:

Naji AR. Performance study of a clustered shared memory multiprocessor. [Internet] [Doctoral dissertation]. University of Michigan; 1988. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/162103.

Council of Science Editors:

Naji AR. Performance study of a clustered shared memory multiprocessor. [Doctoral Dissertation]. University of Michigan; 1988. Available from: http://hdl.handle.net/2027.42/162103


University of Michigan

8. Luckhardt, Carol Ann. N-person game playing and artificial intelligence.

Degree: PhD, Artificial intelligence, 1989, University of Michigan

 Game playing in artificial intelligence (AI) has produced effective algorithms enabling a computer to play two-person, non-cooperative, zero-sum and perfect information games such as checkers… (more)

Subjects/Keywords: Engineering

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APA (6th Edition):

Luckhardt, C. A. (1989). N-person game playing and artificial intelligence. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162493

Chicago Manual of Style (16th Edition):

Luckhardt, Carol Ann. “N-person game playing and artificial intelligence.” 1989. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/162493.

MLA Handbook (7th Edition):

Luckhardt, Carol Ann. “N-person game playing and artificial intelligence.” 1989. Web. 22 Oct 2020.

Vancouver:

Luckhardt CA. N-person game playing and artificial intelligence. [Internet] [Doctoral dissertation]. University of Michigan; 1989. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/162493.

Council of Science Editors:

Luckhardt CA. N-person game playing and artificial intelligence. [Doctoral Dissertation]. University of Michigan; 1989. Available from: http://hdl.handle.net/2027.42/162493


University of Michigan

9. Luc, Khai-Quang. The design of a high performance dataflow processor for multiprocessor systems.

Degree: PhD, Computer science, 1989, University of Michigan

 The objective of this work is to design a high performance dynamic dataflow processor for multiprocessor systems. The performance of contemporary dataflow processors is limited… (more)

Subjects/Keywords: Engineering

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APA (6th Edition):

Luc, K. (1989). The design of a high performance dataflow processor for multiprocessor systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162222

Chicago Manual of Style (16th Edition):

Luc, Khai-Quang. “The design of a high performance dataflow processor for multiprocessor systems.” 1989. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/162222.

MLA Handbook (7th Edition):

Luc, Khai-Quang. “The design of a high performance dataflow processor for multiprocessor systems.” 1989. Web. 22 Oct 2020.

Vancouver:

Luc K. The design of a high performance dataflow processor for multiprocessor systems. [Internet] [Doctoral dissertation]. University of Michigan; 1989. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/162222.

Council of Science Editors:

Luc K. The design of a high performance dataflow processor for multiprocessor systems. [Doctoral Dissertation]. University of Michigan; 1989. Available from: http://hdl.handle.net/2027.42/162222


University of Michigan

10. Harik, Georges Raif. Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms.

Degree: PhD, Genetics, 1997, University of Michigan

 The complicated nature of modern scientific endeavors often times requires the employment of black-box optimization. For the past twenty years, the simple genetic algorithm (sGA)… (more)

Subjects/Keywords: Algorithms; Bounded; Difficulty; Efficiently; Gene; Genetic; Learning; Linkage; Problem-solving; Problems; Solve; Stochastic Optimization; Using

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APA (6th Edition):

Harik, G. R. (1997). Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130484

Chicago Manual of Style (16th Edition):

Harik, Georges Raif. “Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms.” 1997. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/130484.

MLA Handbook (7th Edition):

Harik, Georges Raif. “Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms.” 1997. Web. 22 Oct 2020.

Vancouver:

Harik GR. Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms. [Internet] [Doctoral dissertation]. University of Michigan; 1997. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/130484.

Council of Science Editors:

Harik GR. Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms. [Doctoral Dissertation]. University of Michigan; 1997. Available from: http://hdl.handle.net/2027.42/130484


University of Michigan

11. Hankinson, John Matthew. Process improvement using classification decision trees for run-to-run control of a reactive ion etching process.

Degree: PhD, Industrial engineering, 1997, University of Michigan

 A methodology is presented for using classification rules generated by a decision tree to provide run-to-run control actions for a reactive ion etching process. The… (more)

Subjects/Keywords: Classification; Control; Decision; Etching; Improvement; Ion; Process; Reactive; Run; Semiconductors; To; Trees; Using

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APA (6th Edition):

Hankinson, J. M. (1997). Process improvement using classification decision trees for run-to-run control of a reactive ion etching process. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130482

Chicago Manual of Style (16th Edition):

Hankinson, John Matthew. “Process improvement using classification decision trees for run-to-run control of a reactive ion etching process.” 1997. Doctoral Dissertation, University of Michigan. Accessed October 22, 2020. http://hdl.handle.net/2027.42/130482.

MLA Handbook (7th Edition):

Hankinson, John Matthew. “Process improvement using classification decision trees for run-to-run control of a reactive ion etching process.” 1997. Web. 22 Oct 2020.

Vancouver:

Hankinson JM. Process improvement using classification decision trees for run-to-run control of a reactive ion etching process. [Internet] [Doctoral dissertation]. University of Michigan; 1997. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2027.42/130482.

Council of Science Editors:

Hankinson JM. Process improvement using classification decision trees for run-to-run control of a reactive ion etching process. [Doctoral Dissertation]. University of Michigan; 1997. Available from: http://hdl.handle.net/2027.42/130482

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