Search Results - "Punch, W.F."

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  1. 1

    Dimensionality reduction using genetic algorithms by Raymer, M.L., Punch, W.F., Goodman, E.D., Kuhn, L.A., Jain, A.K.

    “…Pattern recognition generally requires that objects be described in terms of a set of measurable features. The selection and quality of the features…”
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    Journal Article
  2. 2

    Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm by Raymer, M.L., Doom, T.E., Kuhn, L.A., Punch, W.F.

    “…A key element of bioinformatics research is the extraction of meaningful information from large experimental data sets. Various approaches, including…”
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    Journal Article
  3. 3

    Adaptive clustering ensembles by Topchy, A., Minaei-Bidgoli, B., Jain, A.K., Punch, W.F.

    “…Clustering ensembles combine multiple partitions of the given data into a single clustering solution of better quality. Inspired by the success of supervised…”
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    Conference Proceeding
  4. 4

    Ensembles of partitions via data resampling by Minaei-Bidgoli, B., Topchy, A., Punch, W.F.

    “…The combination of multiple clusterings is a difficult problem in the practice of distributed data mining. Both the cluster generation mechanism and the…”
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    Conference Proceeding
  5. 5

    Recommendation via Query Centered Random Walk on K-Partite Graph by Haibin Cheng, Pang-Ning Tan, Sticklen, J., Punch, W.F.

    “…This paper presents an algorithm for recommending items using a diverse set of features. The items are recommended by performing a random walk on the k-partite…”
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    Conference Proceeding
  6. 6

    Mining interesting contrast rules for a web-based educational system by Minaei-Bidgoli, B., Pang-Ning Tan, Punch, W.F.

    “…Web-based educational technologies allow educators to study how students learn (descriptive studies) and which learning strategies are most effective…”
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    Conference Proceeding
  7. 7
  8. 8

    Global search in combinatorial optimization using reinforcement learning algorithms by Miagkikh, V.V., Punch, W.F.

    “…This paper presents two approaches that address the problems of the local character of the search and imprecise state representation of reinforcement learning…”
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    Conference Proceeding
  9. 9

    Hierarchical classification: its usefulness for diagnosis and sensor validation by Chandrasekaran, B., Punch, W.F.

    “…The concept of the generic task, one of a small set of ubiquitous cognitive tasks that together account for some part of human cognition, is examined. In…”
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    Journal Article
  10. 10

    Coarse-grain parallel genetic algorithms: categorization and new approach by Shyh-Chang Lin, Punch, W.F., Goodman, E.D.

    “…This paper describes a number of different coarse-grain GA's, including various migration strategies and connectivity schemes to address the premature…”
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    Conference Proceeding
  11. 11

    Knowledge discovery in biological data sets using a hybrid Bayes classifier/evolutionary algorithm by Raymer, M.L., Kuhn, L.A., Punch, W.F.

    “…A key element of bioinformatics research is the extraction of meaningful information from large experimental data sets. Various approaches, including…”
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    Conference Proceeding
  12. 12

    Scheduling variance loss using population level annealing for evolutionary computation by Patton, A.L., Goodman, E.D., Punch, W.F.

    “…Evolutionary programming (EP) has historically used a number of approaches for selection of the mutation step size. Current EP implementations typically use…”
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    Conference Proceeding
  13. 13

    Concept feedback in computer-graded assignments by Albertelli, G., Minaei-Bigdoli, B., Punch, W.F., Korkemeyer, G., Kashy, E.

    “…Information technology in education has greatly enhanced feedback for students and instructors. However, the feedback for instructors has been more difficult…”
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    Conference Proceeding
  14. 14

    Large interactions of compiled and causal reasoning in diagnosis by Punch, W.F.

    Published in IEEE expert (01-02-1992)
    “…A medical diagnosis system that dynamically integrates two types of problem-solving agents to solve large problems is presented. It integrates a…”
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    Journal Article
  15. 15

    Toward the optimization of a class of black box optimization algorithms by Gang Wang, Goodman, E.D., Punch, W.F.

    “…Many black box optimization algorithms have sufficient flexibility to allow them to adapt to the varying circumstances they encounter. These capabilities are…”
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    Conference Proceeding
  16. 16

    IPCA, an architecture for intelligent control by Decker, D.B., Punch, W.F., Sticklen, J.

    “…IPCA (Intelligent Process Control Architecture) is an architecture for flexible, intelligent control. IPCA is rooted in the generic task (GT) approach to…”
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    Conference Proceeding
  17. 17

    A generic task approach to a real time nuclear power plant fault diagnosis and advisory system by Hajek, B.K., Miller, D.W., Bhatnagar, R., Stasenko, J.E., Punch, W.F., Yamada, N.

    “…A generic task toolkit has been used in the development of an aid for operators of nuclear power plants. The toolkit consists of high-level programming tools…”
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    Conference Proceeding
  18. 18

    Using genetic algorithms to design laminated composite structures by Punch, W.F., Averill, R.C., Goodman, E.D., Shyh-Chang Lin, Ying Ding

    Published in IEEE expert (01-02-1995)
    “…By narrowing the search space, genetic algorithms facilitate the design of 2D and 3D laminated composite beams. Adapting these algorithms for parallel…”
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    Journal Article
  19. 19

    Peirce: a tool for experimenting with abduction by Punch, W.F., Tanner, M.C., Josephson, J.R., Smith, J.W.

    Published in IEEE expert (01-10-1990)
    “…Abduction, defined as the stating and entertaining of a hypothesis, is addressed. The Red system for blood antibody identification, which comprises the…”
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    Journal Article