MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Abstract A Stratified Methodology for Classifier and Recognizer Evaluation

Download:
pdf
unknown authors
http://www.cse.lehigh.edu/~tboult/PAPERS/IEEE-EEMCV01-A-Stratified-Methodology-for-Classifier-and-Recognizer-Evaluation--Micheals-Boult.pdf
Add To MetaCart

Abstract:

In this companion paper, we formally introduce STRAT, a stratification centric methodology for the empirical evaluation of classification systems. The motivating criteria for STRAT’s development are discussed, as well as the potential consequences of departing from some common statistical assumptions made when applying more traditional methods. STRAT uses an established replicate statistical technique called balanced repeated replication, or BRR, that does not require the i.i.d. assumption needed for bootstrapping, jackknifing, or binomial techniques. 1.

Citations

1034 An Introduction to the Bootstrap – Efron, Tibshirani - 1993
356 The FERET Evaluation Methodology for Face-Recognition Algorithms – Phillips, Moon, et al. - 2000
338 A study of cross-validation and bootstrap for accuracy estimation and model selection – Kohavi - 1995
314 Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms – Dietterich - 1998
264 Empirical methods for artificial intelligence – Cohen - 1996
254 The Jackknife, the Bootstrap, and Other Resampling Plans – EFRON - 1982
200 Sampling Techniques – Cochran - 1977
113 Statistics for experimenters: An introduction to Design – Box, Hunter, et al. - 1978
94 Estimating the error rate of a prediction rule: Improvement on cross-validation – Efron - 1983
91 Some statistical issues in the comparison of speech recognition algorithms – Gillick, Cox - 1989
89 On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach. Data Mining and Knowledge Discovery 1:3 – Salzberg - 1997
76 Topics in Algebra – HERSTEIN - 1964
68 Classification Algorithms – James - 1985
64 Analysis of Binary Data – Cox, Snell - 1989
48 A comparitive analysis of methods for pruning decision trees – Esposito, Malerba, et al. - 1997
39 The design of optimum multifactorial experiments. Biometrika – Plackett, Burman - 1946
34 A nonparametric statistical comparison of principal component and linear discriminant subspaces for face recognition – Beveridge, She, et al. - 2001
31 Modelling Binary Data – Collett - 1991
30 Bibliography on estimation of misclassification – Toussaint - 1974
27 Computer Intensive Methods for Testing Hypothesis: An Introduction – Noreen - 1989
20 On comparing classifiers: a critique of current research and methods. Data mining and knowledge discovery – SALZBERG - 1999
16 Efficient evaluation of classification and recognition systems – Micheals, Boult - 2001
13 Which method learns most from the data – Feelders, Verkooijen - 1995
11 Induction with Randomization Testing: Decision-Oriented Analysis of Large Data Sets – Jensen - 1992
10 Evaluating machine learning models for engineering problems – Reich, Barai - 1999
9 Parametric and nonparametric methods for the statistical evaluation of human id algorithms – Beveridge, She, et al. - 2001
9 Psychological Statistics – McNemar - 1969
7 Statistical significance in inductive learning – Gascuel, Caraux - 1992
7 Inference from complex samples – Kish, Frankel - 1974
6 Asymptotic properties of the balanced repeated replication method for sample quantiles – Shao, Wu - 1992
5 Balanced repeated replications based on orthogonal multi-arrays – Sitter - 1993
4 Construction orthogonal replications for variance estimation – Gurney, Jewett - 1975
4 Fay’s method for variance estimation – Judkins - 1990
4 Replication: An Approach to the Analysis of Data From Complex Surveys. U.S. Government Printing Office – McCarthy - 1966
3 Facial recognition vendor test 2000. http://www.dodcounterdrug.com/facialrecognition – Blackburn, Bone, et al. - 2000
3 Inference from Survey Samples: An Empirical Investication. Litho Crafters – Frankel - 1971
3 Variance estimation for complex surveys using replication techniques – Rust, Rao - 1996
2 SuperResoluation Imaging, chapter Super-Resolution via Image Warping – Boult, Chiang, et al. - 2001
2 Confidence intervals for clustered samples – Kish - 1957
2 Inference from statified samples: Properties of the linearization, jackknife and balanced repeated replication methods – Krewski, Rao - 1981
2 Practical Methods for Design and Analaysis of Complex Surveys. Statistics in Practice – Lehtonen, Pahkinen - 1995
2 Replicate statistics for efficient vision system evaluation – Micheals, Boult - 2000
2 Finite Population Sampling and Inference – Valliant, Dorfman, et al. - 2000
1 Learning from Data: AI and Statistics V, chapter On the Statistical Comparison of Inductive Learning Methods – Feelders, Verkooijen - 1996
1 Spending on the selling of wisdom – Johnson, Keeves - 2000
1 Introduction to Variance Estimation. Springer series in statistics – Wolter - 1985