Robert S. Lynch Jr.

According to our database, Robert S. Lynch Jr. authored at least 20 papers between 1996 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the 12th International Conference on Information Fusion, 2009

Estimating the threshold for maximizing expected gain in supervised discrete Bayesian classification.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the Data Mining, 2009

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.

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

A new approach to chemical agent detection, classification, and estimation.

Tao Qian, Genshe Chen, Erik Blasch, Robert S. Lynch Jr., Yongwei Qi

Proceedings of the Data Mining, 2008

Performance comparison of the automatic data reduction system (ADRS).

Dan Patterson, David A. Turner, Arturo I. Concepcion, Robert S. Lynch Jr.

Proceedings of the Data Mining, 2008

2007

Mining unknown patterns in data when the features are correlated.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the Data Mining, 2007

2006

Utilizing Fused Features to Mine Unknown Clusters in Training Data.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the 9th International Conference on Information Fusion, 2006

An algorithmic approach to mining unknown clusters in training data.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the Data Mining, 2006

2005

A theoretical performance analysis of the Bayesian data reduction algorithm.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the IEEE International Conference on Systems, 2005

Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the Data Mining, 2005

2004

Quantizing features independently in the Bayesian data reduction algorithm.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the IEEE International Conference on Systems, 2004

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

Use of Bayesian data reduction for the fusion of legacy classifiers.

Robert S. Lynch Jr., Peter K. Willett

Inf. Fusion, 2003

Classifier fusion results using various open literature data sets.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the IEEE International Conference on Systems, 2003

2002

Waveform fusion for sonar detection and estimation.

Sun Yan, Peter Willett, Robert S. Lynch Jr.

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Classification performance of various real-life data sets when the features are discretized.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the IEEE International Conference on Systems, 2001

2000

Adaptive Bayesian classification using noninformative Dirichlet priors.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the IEEE International Conference on Systems, 2000

1999

Performance considerations for a combined information classification test using Dirichlet priors.

Robert S. Lynch Jr., Peter K. Willett

IEEE Trans. Signal Process., 1999

Classification using Dirichlet priors when the training data are mislabeled.

Robert S. Lynch Jr., Peter K. Willett

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1996

Classification with a combined information test.

Robert S. Lynch Jr., Peter Willett

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996