Robert S. Lynch Jr.

20 papers B 4C 2Misc 3Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2009 — conf
Estimating the threshold for maximizing expected gain in supervised discrete Bayesian classification.
Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security
Robert S. Lynch Jr., Peter K. Willett
2009 C conf
Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features.
FUSION
Robert S. Lynch Jr., Peter K. Willett
2008 — conf
A new approach to chemical agent detection, classification, and estimation.
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security
Tao Qian, Genshe Chen, Erik Blasch, Robert S. Lynch Jr., Yongwei Qi
2008 — conf
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining.
ISDA (1)
Nicholas Navaroli, David A. Turner, Arturo I. Concepcion, Robert S. Lynch Jr.
2008 — conf
Performance comparison of the automatic data reduction system (ADRS).
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security
Dan Patterson, David A. Turner, Arturo I. Concepcion, Robert S. Lynch Jr.
2007 — conf
Mining unknown patterns in data when the features are correlated.
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security
Robert S. Lynch Jr., Peter K. Willett
2006 — conf
An algorithmic approach to mining unknown clusters in training data.
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security
Robert S. Lynch Jr., Peter K. Willett
2006 C conf
Utilizing Fused Features to Mine Unknown Clusters in Training Data.
FUSION
Robert S. Lynch Jr., Peter K. Willett
2005 B conf
A theoretical performance analysis of the Bayesian data reduction algorithm.
SMC
Robert S. Lynch Jr., Peter K. Willett
2005 — conf
Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm.
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security
Robert S. Lynch Jr., Peter K. Willett
2004 — conf
Quantizing features independently in the Bayesian data reduction algorithm.
SMC (2)
Robert S. Lynch Jr., Peter K. Willett
2003 J jnl
Bayesian classification and feature reduction using uniform Dirichlet priors.
IEEE Trans. Syst. Man Cybern. Part B
Robert S. Lynch Jr., Peter K. Willett
2003 B conf
Classifier fusion results using various open literature data sets.
SMC
Robert S. Lynch Jr., Peter K. Willett
2003 J jnl
Use of Bayesian data reduction for the fusion of legacy classifiers.
Inf. Fusion
Robert S. Lynch Jr., Peter K. Willett
2002 Misc conf
Waveform fusion for sonar detection and estimation.
ICASSP
Sun Yan, Peter Willett, Robert S. Lynch Jr.
2001 B conf
Classification performance of various real-life data sets when the features are discretized.
SMC
Robert S. Lynch Jr., Peter K. Willett
2000 B conf
Adaptive Bayesian classification using noninformative Dirichlet priors.
SMC
Robert S. Lynch Jr., Peter K. Willett
1999 Misc conf
Classification using Dirichlet priors when the training data are mislabeled.
ICASSP
Robert S. Lynch Jr., Peter K. Willett
1999 J jnl
Performance considerations for a combined information classification test using Dirichlet priors.
IEEE Trans. Signal Process.
Robert S. Lynch Jr., Peter K. Willett
1996 Misc conf
Classification with a combined information test.
ICASSP
Robert S. Lynch Jr., Peter Willett