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Minimizing Statistical Bias with Queries (1995)  (Make Corrections)  (10 citations)
David A. Cohn
Advances in Neural Information Processing Systems



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Abstract: I describe an exploration criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. I describe experiments with locally-weighted regression on two simple kinematics problems, and observe that this "bias-only" approach outperforms the more common "variance-only" exploration approach, even in the presence of noise. Copyright c fl Massachusetts Institute of Technology, 1995 This report describes research done at the Center for Biological and Computational ... (Update)

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...includes an unknown controlling parameter of the trade o# between the bias and variance, so the optimal solution can not be obtained. Cohn (1997) used resampling methods such as the bootstrapping (Efron Tibshirani, 1993) and the cross validation (Stone, 1974) for estimating...

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BibTeX entry:   (Update)

Cohn, D. (1995). Minimizing statistical bias with queries. AI Lab memo AIM1552, Massachusetts Institute of Technology. Available by anonymous ftp from publications.ai.mit.edu. http://citeseer.ist.psu.edu/article/cohn95minimizing.html   More

@inproceedings{ cohn97minimizing,
    author = "David A. Cohn",
    title = "Minimizing Statistical Bias with Queries",
    booktitle = "Advances in Neural Information Processing Systems",
    volume = "9",
    publisher = "The {MIT} Press",
    editor = "Michael C. Mozer and Michael I. Jordan and Thomas Petsche",
    pages = "417",
    year = "1997",
    url = "citeseer.ist.psu.edu/article/cohn95minimizing.html" }
Citations (may not include all citations):
132   Theory of Optimal Experiments (context) - Fedorov - 1972
119   Empirical modelbuilding and response surfaces (context) - Box, Draper - 1987
111   Active learning with statistical models - Cohn, Ghahramani et al. - 1995  ACM   DBLP
105   Information-based objective functions for active data select.. - MacKay - 1992  ACM
82   Error-correcting output coding corrects bias and variance - Dietterich, Kong - 1995  DBLP
77   Neural network exploration using optimal experiment design - Cohn - 1994  ACM   DBLP
46   Selecting concise training sets from clean data (context) - Plutowski, White - 1993
37   Robot Juggling: An Implementation of Memory-based Learning (context) - Schaal, Atkeson - 1994
9   Bayesian Query Construction for Neural Network Models (context) - Paass, Kindermann - 1994  DBLP
8   Regression by local fitting (context) - Cleveland, Devlin et al. - 1988
3   Bootstrap Methods in Neural Network Time Series Prediction (context) - Connor - 1993



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