D. Tcheng

Larry A. Rendell, Harish Ragavan, David K. Tcheng, 1992, Proceedings Fourth International Conference on Software Engineering and Knowledge Engineering.

MORE ROBUST CONCEPT LEARNING USING DYNAMICALLY – VARIABLE BIAS

David Tcheng, Larry A. Rendell, Raj Seshu, 1987 .

Creating and using models for engineering design: a machine-learning approach

Stephen C. Y. Lu, Dennis N. Assanis, David K. Tcheng, 1992, IEEE Expert.

AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making

Larry A. Rendell, Stephen C. Y. Lu, David K. Tcheng, 1991, ML.

Integration of Simulation, Learning and Optimization to Support Engineering Design

S.C-Y. Lu, D. K. Tcheng, S. Yerramareddy, 1991 .

Generalized Recursive Splitting Algorithms for Learning Hybrid Concepts

Stephen C. Y. Lu, David K. Tcheng, Bruce L. Lambert, 1989, ML.

Building Robust Learning Systems by Combining Induction and Optimization

Larry A. Rendell, Stephen C. Y. Lu, David K. Tcheng, 1989, IJCAI.

Robust Machine Learning Applied to Astronomical Data Sets. III. Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX

Robert J. Brunner, Adam D. Myers, Department of Physics, 2008, 0804.3413.

Robust Machine Learning Applied to Astronomical Data Sets. I. Star-Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees

Robert J. Brunner, Adam D. Myers, Nicholas M. Ball, 2006, astro-ph/0606541.

Iterative numerical and graphical procedures for determining kinetic parameters using four TG data pairs

D. Tcheng, J. E. House, 1983 .

Approaches to advance scientific understanding of macrosystems ecology

David Tcheng, Andrew O. Finley, Ben Bond-Lamberty, 2014 .

Visual Recognition Software for Binary Classification and Its Application to Spruce Pollen Identification

Charless C. Fowlkes, David K. Tcheng, Surangi W. Punyasena, 2016, PloS one.

Classifying black and white spruce pollen using layered machine learning.

D. Tcheng, S. Punyasena, Cassandra J. Wesseln, 2012, The New phytologist.

Self-organizing systems for knowledge discovery in large databases

David Tcheng, William M. Pottenger, William H. Hsu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Sounding for Meaning: Using Theories of Knowledge Representation to Analyze Aural Patterns in Texts

Tanya E. Clement, David Tcheng, Loretta Auvil, 2013, Digit. Humanit. Q..

The effects of seasonal and long-term climatic variability on Neotropical flowering phenology: An ecoinformatic analysis of aerial pollen data

Surangi Punyasena, David K. Tcheng, Derek S. Haselhorst, 2017, Ecol. Informatics.

Integrating data sources to improve hydraulic head predictions: A hierarchical machine learning approach

David Tcheng, Barbara S. Minsker, Albert J. Valocchi, 2005 .

A general approach to data-intensive computing using the Meandre component-based framework

David Tcheng, Loretta Auvil, Limin Dong, 2010, Wands '10.

The International Music Information Retrieval Systems Evaluation Laboratory: Governance, Access and Security

J. Stephen Downie, Joe Futrelle, David K. Tcheng, 2004, ISMIR.