Classification with a combined information test. - Robert S. Lynch Jr.; Peter Willett 001 (ICASSP, 1996)

Classification using Dirichlet priors when the training data are mislabeled. - Robert S. Lynch Jr.; Peter K. Willett (ICASSP, 1999)

Performance considerations for a combined information classification test using Dirichlet priors. - Robert S. Lynch Jr.; Peter K. Willett (IEEE Trans. Signal Process., 1999)

Adaptive Bayesian classification using noninformative Dirichlet priors. - Robert S. Lynch Jr.; Peter K. Willett (SMC, 2000)

Classification performance of various real-life data sets when the features are discretized. - Robert S. Lynch Jr.; Peter K. Willett (SMC, 2001)

Waveform fusion for sonar detection and estimation. - Sun Yan; Peter Willett 001; Robert S. Lynch Jr. (ICASSP, 2002)

Classifier fusion results using various open literature data sets. - Robert S. Lynch Jr.; Peter K. Willett (SMC, 2003)

Use of Bayesian data reduction for the fusion of legacy classifiers. - Robert S. Lynch Jr.; Peter K. Willett (Inf. Fusion, 2003)

Bayesian classification and feature reduction using uniform Dirichlet priors. - Robert S. Lynch Jr.; Peter K. Willett (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Quantizing features independently in the Bayesian data reduction algorithm. - Robert S. Lynch Jr.; Peter K. Willett (SMC (2), 2004)

Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm. - Robert S. Lynch Jr.; Peter K. Willett (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

A theoretical performance analysis of the Bayesian data reduction algorithm. - Robert S. Lynch Jr.; Peter K. Willett (SMC, 2005)

An algorithmic approach to mining unknown clusters in training data. - Robert S. Lynch Jr.; Peter K. Willett (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Utilizing Fused Features to Mine Unknown Clusters in Training Data. - Robert S. Lynch Jr.; Peter K. Willett (FUSION, 2006)

Mining unknown patterns in data when the features are correlated. - Robert S. Lynch Jr.; Peter K. Willett (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Performance comparison of the automatic data reduction system (ADRS). - Dan Patterson; David A. Turner; Arturo I. Concepcion; Robert S. Lynch Jr. (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2008)

A new approach to chemical agent detection, classification, and estimation. - Tao Qian; Genshe Chen; Erik Blasch; Robert S. Lynch Jr.; Yongwei Qi (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2008)

Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining. - Nicholas Navaroli; David A. Turner; Arturo I. Concepcion; Robert S. Lynch Jr. (ISDA (1), 2008)

Estimating the threshold for maximizing expected gain in supervised discrete Bayesian classification. - Robert S. Lynch Jr.; Peter K. Willett (Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security, 2009)

Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features. - Robert S. Lynch Jr.; Peter K. Willett (FUSION, 2009)