Select Language

AI社区

公开数据集

天平秤数据集,用于模拟心理实验结果

天平秤数据集,用于模拟心理实验结果

2K
460 浏览
0 喜欢
1 次下载
0 条讨论
Social Classification

Data Set Information:这个数据集是用来模拟心理实验结果的。每个示例被分类为天平尖端向右、尖端向左或处于平衡状态。这些属性......

数据结构 ? 2K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    这个数据集是用来模拟心理实验结果的。每个示例被分类为天平尖端向右、尖端向左或处于平衡状态。这些属性是左权重、左距离、右权重和右距离。找到类的正确方法是(左距离*左权重)和(右距离*右权重)中的较大值。如果它们相等,则是平衡的。


    Attribute Information:

    1.课程名称:3(L、B、R)

    2.左侧重量:5(1,2,3,4,5)

    3.左距离:5(1,2,3,4,5)

    4.右权重:5(1,2,3,4,5)

    5.右距离:5(1,2,3,4,5)


    Relevant Papers:

    Klahr, D., & Siegler, R.S. (1978).  The Representation of Children's Knowledge.  In H. W. Reese & L. P. Lipsitt (Eds.), Advances in Child Development and Behavior, pp. 61-116.  New York: Academic Press
    [Web link]

    Langley,P. (1987).  A General Theory of Discrimination Learning.  In D. Klahr, P. Langley, & R. Neches (Eds.), Production System Models of Learning and Development, pp. 99-161. Cambridge, MA: MIT Press
    [Web link]

    Newell, A. (1990).  Unified Theories of Cognition. Cambridge, MA: Harvard University Press
    [Web link]

    McClelland, J.L. (1988).  Parallel Distibuted Processing: Implications for Cognition and Development.  Technical Report AIP-47, Department of Psychology, Carnegie-Mellon University
    [Web link]

    Shultz, T., Mareschal, D., & Schmidt, W. (1994).  Modeling Cognitive Development on Balance Scale Phenomena. Machine Learning, Vol. 16, pp. 59-88.
    [Web link]


    Papers That Cite This Data Set1:


    Jianbin Tan and David L. Dowe. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Australian Conference on Artificial Intelligence. 2003.  [View Context].

    Zhi-Hua Zhou and Yuan Jiang and Shifu Chen. Extracting symbolic rules from trained neural network ensembles. AI Commun, 16. 2003.  [View Context].

    Peter Sykacek and Stephen J. Roberts. Adaptive Classification by Variational Kalman Filtering. NIPS. 2002.  [View Context].

    Remco R. Bouckaert. Accuracy bounds for ensembles under 0 { 1 loss. Xtal Mountain Information Technology & Computer Science Department, University of Waikato. 2002.  [View Context].

    Nir Friedman and Moisés Goldszmidt and Thomas J. Lee. Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting. ICML. 1998.  [View Context].

    Alexander K. Seewald. Dissertation Towards Understanding Stacking Studies of a General Ensemble Learning Scheme ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Naturwissenschaften.  [View Context].

    Hirotaka Inoue and Hiroyuki Narihisa. Experiments with an Ensemble Self-Generating Neural Network. Okayama University of Science.  [View Context].

    Alexander K. Seewald. meta-Learning for Stacked Classification. Austrian Research Institute for Artificial Intelligence.  [View Context].



    Generated to model psychological experiments reported by Siegler, R. S. (1976).
    Three Aspects of Cognitive Development.  Cognitive Psychology, 8, 481-520.

    Donor:

    Tim Hume (hume '@' ics.uci.edu)


    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:15 去赚积分?
    • 460浏览
    • 1下载
    • 0点赞
    • 收藏
    • 分享