Robert S. Lynch Jr.

Publication Activity (10 Years)

Years Active: 1996-2009
Publications (10 Years): 0

Publications

Robert S. Lynch Jr., Peter K. Willett
Estimating the threshold for maximizing expected gain in supervised discrete Bayesian classification. Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security (2009)
Robert S. Lynch Jr., Peter K. Willett
Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features. FUSION (2009)
Dan Patterson, David A. Turner, Arturo I. Concepcion, Robert S. Lynch Jr.
Performance comparison of the automatic data reduction system (ADRS). Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2008)
Tao Qian, Genshe Chen, Erik Blasch, Robert S. Lynch Jr., Yongwei Qi
A new approach to chemical agent detection, classification, and estimation. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2008)
Nicholas Navaroli, David A. Turner, Arturo I. Concepcion, Robert S. Lynch Jr.
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining. ISDA (1) (2008)
Robert S. Lynch Jr., Peter K. Willett
Mining unknown patterns in data when the features are correlated. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2007)
Robert S. Lynch Jr., Peter K. Willett
An algorithmic approach to mining unknown clusters in training data. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2006)
Robert S. Lynch Jr., Peter K. Willett
Utilizing Fused Features to Mine Unknown Clusters in Training Data. FUSION (2006)
Robert S. Lynch Jr., Peter K. Willett
Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2005)
Robert S. Lynch Jr., Peter K. Willett
A theoretical performance analysis of the Bayesian data reduction algorithm. SMC (2005)
Robert S. Lynch Jr., Peter K. Willett
Quantizing features independently in the Bayesian data reduction algorithm. SMC (2) (2004)
Robert S. Lynch Jr., Peter K. Willett
Bayesian classification and feature reduction using uniform Dirichlet priors. IEEE Trans. Syst. Man Cybern. Part B 33 (3) (2003)
Robert S. Lynch Jr., Peter K. Willett
Use of Bayesian data reduction for the fusion of legacy classifiers. Inf. Fusion 4 (1) (2003)
Robert S. Lynch Jr., Peter K. Willett
Classifier fusion results using various open literature data sets. SMC (2003)
Sun Yan, Peter Willett, Robert S. Lynch Jr.
Waveform fusion for sonar detection and estimation. ICASSP (2002)
Robert S. Lynch Jr., Peter K. Willett
Classification performance of various real-life data sets when the features are discretized. SMC (2001)
Robert S. Lynch Jr., Peter K. Willett
Adaptive Bayesian classification using noninformative Dirichlet priors. SMC (2000)
Robert S. Lynch Jr., Peter K. Willett
Classification using Dirichlet priors when the training data are mislabeled. ICASSP (1999)
Robert S. Lynch Jr., Peter K. Willett
Performance considerations for a combined information classification test using Dirichlet priors. IEEE Trans. Signal Process. 47 (6) (1999)
Robert S. Lynch Jr., Peter Willett
Classification with a combined information test. ICASSP (1996)