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Abstract: This thesis is devoted to relaxing certain theoretical assumptions in pattern recognition models. In pattern recognition a predictor is trying to guess a discrete label of some object (usually a real vector), based on given examples of object-label pairs. (Update)
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BibTeX entry: (Update)
@misc{ recognition-flexibility,
author = "For Pattern Recognition",
title = "On the Flexibility of Theoretical Models",
url = "citeseer.ist.psu.edu/760575.html" }
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296 A probabilistic theory of pattern recognition (context) - Devroye, Gyorfi et al. - 1996
286 Nearest neighbor pattern classification (context) - Cover, Hart - 1967
248 An Introduction to Computational Learning Theory (context) - Kearns, Vazirani - 1994
98 Consistent nonparametric regression (context) - Stone - 1977
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45 Maximum entropy Markov models for information extraction and.. - McCallum, Freitag et al. - 2000
43 Algorithmic stability and sanity-check bounds on leave-one-o.. - Kearns, Ron - 1999
24 Distribution-free performance bounds for potential function .. (context) - Devroye, Wagner - 1979
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24 Nonparametric Estimation via empirical risk minimization (context) - Lugosi, Zeger - 1995
23 Theory of Pattern Recognition (context) - Vapnik, Chervonenkis - 1974
22 Nonparametric discrimination: Consistency properties (context) - Fix, Hodges - 1951
21 Conditional Random Fields: Probabilistic Models for Segmenti.. (context) - La, McCallum et al. - 2001
18 Consistency of data-driven histogram methods for density est.. (context) - Lugosi, Nobel - 1996
15 Prediction of random sequences and universal coding (context) - Ryabko - 1988
15 Hidden Markov Support Vector Machines - Altun, Tsochantaridis et al. - 2003
11 Machine-learning applications of algorithmic randomness - Vovk, Gammerman et al. - 1999
10 On convergence proofs on perceptrons (context) - Noviko - 1962
10 the strong universal consistency of nearest neighbor regress.. - Devroye, Gyorfi et al. - 1994
9 An Introduction to Support Vector Machines and Other Kernel-.. (context) - Christianini, Shawe-Taylor - 2000
8 Distribution-free inequalities for the deleted and holdout e.. (context) - Devroye, Wagner - 1979
7 What size net gives valid generalisation (context) - Baum, Haussler - 1989
7 Weakly Convergent Nonparametric Forecasting of Stationary Ti.. (context) - Morvai, Yakowitz et al. - 1997
6 Stability and Generalization - Bousquet, Elissee - 2002
6 Automation and Remote Control (context) - Vapnik, Chervonenkis et al. - 1974
6 Discriminatory analysis: small sample performance Technical .. (context) - Fix, Hodges - 1952
5 Conditional Independence - Dawid - 1999
5 Extension of the PAC framework to finite and countable Marko.. - Gamarnik - 2003
4 A finite sample distribution-free performance bound for loca.. (context) - Rogers, Wagner - 1978
3 Regression estimation from an individual stable sequence (context) - Morvai, Kulkarni et al. - 1999
2 and Warmuth Learnability and the Vapnik-Chervonenkis dimensi.. (context) - Blumer, Ehrenfeucht et al. - 1989
2 Algorithmic Learning in a Random World (context) - Vovk, Gammerman et al. - 2004
2 On asymptotic probability of error in nonparametric discrimi.. (context) - Devroye
2 Statistical Learning Theory: New York etc (context) - Vapnik - 1998
2 Rates of Convergence of Nearest Neighbour Estimation Under A.. (context) - Kulkarni, Posner - 1995
2 NN and Kernel Estimators Consistent for Arbitrary Processes (context) - Kulkarni, Posner et al. - 2002
2 Consistent nonparametric regression from recursive partition.. (context) - Gordon, Olshen - 1980
2 Limits to classification and regression estimation from ergo.. (context) - Nobel - 1999
2 line Confidence Machines are well-calibrated (context) - Vovk - 2002
2 Density estimation from an individual numerical sequence (context) - Nobel, Morvai et al. - 1998
1 Vazirani A Markovian extension of Valiant's learning model (context) - Aldous - 1990
1 cient solutions to the classification problem (context) - Gordon, Olshen - 1978
1 Rates if convergence for nearest neighbor procedures (context) - Cover - 1968
1 Universal Schemas for Learning the Best Nonlinear Predictor .. (context) - Algoet - 1999
1 Asymptotic optimality of Transductive Confidence Machine (context) - Vovk - 2002
1 Chervonenkis Ordered risk minimisation II (context) - Vapnik - 1974
1 Criterion of calibration for Transductive confidence machine.. (context) - Nouretdinov, Vovk - 2003
1 A Tutorial on Hidden Markov Models and Selected Applications.. (context) - Rabin - 1989
1 New York: Springer (context) - Shiryaev, second - 1996
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