Lynch, Robert S.
Most widely held works about Robert S Lynch
Most widely held works by Robert S Lynch
Income flow analysis : a management tool by Robert S Lynch ( Book )
1 edition published in 1973 in English and held by 1 library worldwide
Bayesian Classification Using Noninformative Dirichlet Priors ( Book )
1 edition published in 1999 in English and held by 1 library worldwide
In this dissertation, the Combined Bayes Test (CBT) and its average probability of error, P(s), are developed. The CBT combines training and test data to infer symbol probabilities where a Dirichlet (completely noninformative) prior is assumed for all classes. Using P(s), several results are shown based on the best quantization complexity, M*(which is related to the Hughes Phenomenon). For example, it is shown that M* increases with the training and test data. Also, it is demonstrated that the OST outperforms a more conventional Maximum Likelihood (ML) based test, and the Kolmogorov-Smimov Test (KST). With this, the Bayesian Data Reduction Algorithm (BDRA) is developed. The BDRA uses P(s) (conditioned on the training data) and a greedy approach for reducing irrelevant features from each class, and its performance is shown to be superior to that of a neural network From here, the CBT is extended to demonstrate performance when the training data of each class are mislabeled. Performance is shown to degrade when mislabeling exists in the training data, being dependent on the mislabeling probabilities. However, it is also shown that the BRDA can be used to diminish the effect of mislabeling. Further, the BDRA is modified, using two different approaches, to classify test observations when the training data of each class contain missing feature values. In the first approach, each missing feature is assumed to be uniformly distributed over its range of values; in the second approach, the number of discrete levels for each feature is increased by one. Both methods of modeling missing features are shown to perform similarly, and both also outperform a neural network.
Adams, John Alaska--Amchitka Island American Iron and Steel Institute Atlantic Steel Company Bridges, William Catskill Center for Conservation and Development Conservation of natural resources Consolidated Edison Company of New York, inc Environmentalists Environmental law Forsyth, Alfred S Georgia--Atlanta Ginsberg, William Glenn, Thomas Kearney,--1868-1946 Harrison, Richard Edes History Horowitz, Aaron Hydroelectric power plants Iron and steel workers Kavanagh, Thomas C Lefkowitz, Louis J Marketing Marsden, Theodore Mitchell, John National Committee for a Sane Nuclear Policy (U.S.) Natural Resources Defense Council New Jersey New Jersey--Franklin Lakes New Jersey--Morris Plains New Jersey--Pequannock New York (State) New York (State)--Lake George New York (State)--Mohonk Lake New York (State)--Newburgh New York (State)--Ossining New York (State)--Storm King Mountain New York (State)--Tarrytown Periodicals Rathjens, George W Sachs, Joel H Scenic Hudson (Organization) Sierra Club Silard, John Smith, William T Soren, Julian Steel industry and trade Trials, litigation, etc. Trident (Weapons systems) U.S. Nuclear Regulatory Commission Wilson, Albert