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Goal-Directed Classification using Linear Machine Decision Trees (1994)  (Make Corrections)  (20 citations)
Bruce A. Draper Carla E. Brodley Paul E. Utgoff Department of Computer...
PAMI



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Abstract: Recent work in feature-based classification has focused on non-parametric techniques that can classify instances even when the underlying feature distributions are unknown. The inference algorithms for training these techniques, however, are designed to maximize the accuracy of the classifier, with all errors weighted equally. In many applications, certain errors are far more costly than others, and the need arises for non-parametric classification techniques that can be trained to optimize... (Update)

Context of citations to this paper:   More

.... on Buluswar s work on nonparametric classification of pixels under varying illumination[2] A multivariate decision tree (MDT) algorithm[4] is used to separate the skincolored region of the color space from the rest. Training data was taken from hand cropped images and as much...

.... as laid out in [BDHR94] is based upon more general work on the use of learned multivariate decision trees in computer vision [DBU94] Hypothesis Generation Given regions of interest generated by the color detection process, or any other detection algorithm, this second...

Cited by:   More
Inducing Safer Oblique Trees without Costs - Vadera (2005)   (Correct)
On Growing Better Decision Trees from Data - Murthy (1997)   (Correct)
Progress in Computer Vision at the University of.. - Riseman, Collins.. (1994)   (Correct)

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0.5:   Executing Reactive Behavior for Autonomous Navigation - Rochwerger, Fennema.. (1994)   (Correct)
0.3:   Multivariate Decision Trees - Brodley, Utgoff (1992)   (Correct)
0.2:   Serial and Parallel Multicategory Discrimination - Bennett, Mangasarian (1994)   (Correct)

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0.4:   An Incremental Method for Finding Multivariate Splits for.. - Utgoff, Brodley (1990)   (Correct)
0.3:   Multivariate versus Univariate Decision Trees - Brodley, Utgoff (1992)   (Correct)
0.2:   Linear Machine Decision Trees - Utgoff, Brodley (1991)   (Correct)

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7:   Model Feature Prediction and Matching to Support Multi-Sensor Object Recognition (context) - Stevens, Beveridge - 1996
6:   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
6:   Optimal Geometric Model Matching Under Full 3D Perspective - Beveridge, Riseman - 1994

BibTeX entry:   (Update)

B. Draper, C. Brodley, and P. Utgoff. Goal-directed classification using linear machine decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(9):888--893, 1994. http://citeseer.ist.psu.edu/draper94goaldirected.html   More

@article{ draper94goaldirected,
    author = "Draper, B.A. and Brodley, C.E. and Utgoff, P.E.",
    title = "Goal-Directed Classification Using Linear Machine Decision Trees",
    journal = "PAMI",
    volume = "16",
    number = "9",
    month = "September",
    pages = "888-893",
    year = "1994",
    url = "citeseer.ist.psu.edu/draper94goaldirected.html" }
Citations (may not include all citations):
2133   Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
1359   Induction of Decision Trees (context) - Quinlan - 1986
1262   Classification and Regression Trees (context) - Breiman, Freidman et al. - 1984
162   Simplifying Decision Trees - Quinlan - 1987
102   An Empirical Comparison of Pruning Methods for Decision Tree.. (context) - Mingers - 1989
88   Learning Machines (context) - Nilsson - 1965
69   Multivariate Decision Trees - Brodley, Utgoff
19   An Incremental Method for Finding Multivariate Splits for De.. - Utgoff, Brodley - 1990
9   Small nets and short paths: Optimising Neural Computation (context) - Frean - 1990
8   Pattern Classification by Iteratively Determined Linear and .. (context) - Duda, Fossum - 1966
2   Information Acquisition and Fusion in the Mobile Perception .. - Draper, Buluswar et al. - 1993



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