Statistical pattern recognition: A review (2000)

by Anil K. Jain , Robert P. W. Duin , Jianchang Mao
Venue:IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Citations:487 - 20 self

Active Bibliography

279 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
2 Statistical Physics of Clustering Algorithms – Thore Graepel - 1998
4 An Information Theoretic Approach to Machine Learning – Robert Jenssen - 2005
6 Empirical Risk Approximation: An Induction Principle for Unsupervised Learning – Joachim M. Buhmann - 1998
308 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
1 ekalska, “The science of pattern recognition. achievements and perspectives – Robert P. W. Duin, El˙zbieta P Ekalska - 2007
4 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces – Masashi Sugiyama, Klaus-Robert Müller, Nello Cristianini - 2002
Digital Ecosystems: Optimisation by a Distributed Intelligence – Gerard Briscoe - 712
5 Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians – Alberto Ruiz, M. Carmen Garrido - 1998
14 Data Dimensionality Estimation Methods: A Survey – Francesco Camastra - 2003
2 Faithful Representations and Moments of Satisfaction: Probabilistic Methods in Learning and Logic – Lidror Troyansky, Prof Naftali Tishby - 1998
Bioinformatics – Vol No Pages - 2003
5 Comparison of Machine Learning and Traditional Classifiers in Glaucoma Diagnosis – Kwokleung Chan, Te-won Lee, Pamela A. Sample, Michael H. Goldbaum, Robert N. Weinreb, Terrence J. Sejnowski - 2002
40 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
Principal Component Analiysis with Multiresolution – Victor L. Brennan - 2001
1 Kernel Methods for Computer Vision: Theory and Applications – Francesco Camastra, Prof Alessandro Verri
134 Learning with Labeled and Unlabeled Data – Matthias Seeger - 2001
40 A unified framework for Regularization Networks and Support Vector Machines – Theodoros Evgeniou, Massimiliano Pontil - 1999