Daniel C. St. Clair

发表

Dynamic ID3: a symbolic learning algorithm for many-valued attribute domains

Chaman L. Sabharwal, Roger Gallion, Daniel C. St. Clair, 1993, SAC '93.

Modeling dynamic entities in relational databases (abstract)

Daniel C. St. Clair, Dominic Soda, 1986, CSC '86.

A generalization based hybrid algorithm for clustering semi-structured data

Sanjay Kumar Madria, Daniel C. St. Clair, Ming-Yi Shih, 2004 .

Proceedings of the 18th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 1987, St. Louis, Missouri, USA, February 19-20, 1987

Daniel C. St. Clair, A. K. Rigler, A. Rigler, 1987, Technical Symposium on Computer Science Education.

An evaluation of learning performance in backpropagation neural networks and decision-tree classifier systems

Daniel C. St. Clair, William E. Bond, Stephen R. Aylward, 1992, SAC '92.

Machine Learning for Nondestructive Evaluation

Daniel C. St. Clair, William E. Bond, Paul O'Rorke, 1991, ML.

UIL - ESP - AD (abstract): an expert system for analysis and diagnoses of a space staion power subsystem

Daniel C. St. Clair, Virginia Johnson, Albert Watterstroem, 1986, CSC '86.

ESPAD: an adaptively controlled rule-based expert system for monitoring and diagnosing space vehicle subsystems

Daniel C. St. Clair, Albert Wetterstroem, Viginia M. Johnson, 1988, CSC '88.

Effects of nonsymmetric release times on rate monotonic scheduling

Daniel C. St. Clair, Tachen Leo Lo, Randall G. Karl, 1993, CSC '93.

Feasibility Test Verification Method For Nonsymmetric Release Time Task Scheduling

Daniel C. St. Clair, Tachen Leo Lo, Randall G. Karl, 1993, [1993] Proceedings 26th Annual Simulation Symposium.

An architecture for adaptive learning in rule-based diagnostic expert systems

Daniel C. St. Clair, William E. Bond, Barry B. Flachsbart, 1987, FJCC.

Matching interval-valued-argument propositions in rule-based systems

Daniel C. St. Clair, William E. Bond, Christopher J. Merz, 1990, CSC '90.

Approximate Query Processing Using Multilayered Data Model to Handle Environmental Constraints, Privacy and Avoiding Inferences

Sanjay Kumar Madria, Daniel C. St. Clair, Muthukumar Narayanan, 2007, Int. J. Cooperative Inf. Syst..

Using Taguchi's method of experimental design to control errors in layered perceptrons

Daniel C. St. Clair, William E. Bond, Stephen R. Aylward, 1995, IEEE Trans. Neural Networks.

Intensity blending of computer image generation-based displays

Daniel C. St. Clair, E. A. Reidelberger, 1996 .

Using the ID3 symbolic classification algorithm to reduce data density

Daniel C. St. Clair, William E. Bond, Barry B. Flachsbart, 1994, SAC '94.

An Inferencing Language for Automated Spatial Reasoning about Graphic Entities

Daniel C. St. Clair, Paul Scarponcini, George W. Zobrist, 1995, SSD.

Effect of the x2 test on construction of ID3 decision trees

Daniel C. St. Clair, Mayank Thakore, 1993, SAC '93.

Rule-based machine learning of spatial data concepts

Daniel C. St. Clair, Steve Stearns, 1995, SAC '95.

Formation of clusters and resolution of ordinal attributes in ID3 classification trees

Chaman L. Sabharwal, Daniel C. St. Clair, Keith R. Hacke, 1992, SAC '92.

Analysis of rule sets generated by the CN2, ID3, and multiple convergence symbolic learning methods

Daniel C. St. Clair, Elizabeth M. Boll, 1995, CSC '95.

Classification characteristics of SOM and ART2

Daniel C. St. Clair, William E. Bond, J. J. Aleshunas, 1994, SAC '94.

Neural network analysis of nondestructive evaluation patterns

Daniel C. St. Clair, William E. Bond, Stephen R. Aylward, 1992, SAC '92.

Classification of mass and nonmass regions on mammograms using artificial neural networks

Mark A. Helvie, Daniel C. St. Clair, Mitchell M. Goodsitt, 1994 .