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David W. Opitz
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2010 – 2019
- 2011
- [i2]Richard Maclin, David W. Opitz:
Popular Ensemble Methods: An Empirical Study. CoRR abs/1106.0257 (2011)
2000 – 2009
- 2001
- [c15]Mark Mangrich, David W. Opitz, Shane Mason:
Feature Extraction from Digital Imagery: A Hierarchical Method. VIIP 2001: 283-288 - 2000
- [j5]Subhash C. Basak, Gregory D. Grunwald, Brian D. Gute, Krishnan Balasubramanian, David W. Opitz:
Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals. J. Chem. Inf. Comput. Sci. 40(4): 885-890 (2000) - [c14]David W. Opitz, Subhash C. Basak, G. Prabu, Denise R. Mills:
Hazard Assessment Modeling: A Hierarchical QSAR Approach. Artificial Intelligence and Soft Computing 2000: 112-115 - [c13]David W. Opitz, Mark Mangrich, J. Zeiler, S. Blundell:
A Comparision of Feature Extraction Techniques in Remotely Sensed Imagery. Artificial Intelligence and Soft Computing 2000: 116-120
1990 – 1999
- 1999
- [j4]David W. Opitz, Richard Maclin
:
Popular Ensemble Methods: An Empirical Study. J. Artif. Intell. Res. 11: 169-198 (1999) - [c12]David W. Opitz:
Feature Selection for Ensembles. AAAI/IAAI 1999: 379-384 - [c11]William Bain, David W. Opitz:
Empirical Comparison of Automated Image Recognition Techniques. SIP 1999: 35-39 - [c10]David W. Opitz, Michael D. Sweet:
Modeling User Tendencies when Classifying Images. SIP 1999: 198-201 - 1997
- [j3]David W. Opitz, Jude W. Shavlik:
Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies. J. Artif. Intell. Res. 6: 177-209 (1997) - [c9]Richard Maclin, David W. Opitz:
An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI 1997: 546-551 - [c8]David W. Opitz:
The Effective Size of a Neural Network: A Principal Component Approach. ICML 1997: 263-271 - [c7]David W. Opitz, Mark W. Craven, Jude W. Shavlik:
Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain. ICNN 1997: 16-20 - [c6]David W. Opitz:
Analyzing the structure of a neural network using principal component analysis. ICNN 1997: 254-259 - [c5]David W. Opitz, Richard Maclin
An empirical evaluation of bagging and boosting for artificial neural networks. ICNN 1997: 1401-1405 - [i1]David W. Opitz, Jude W. Shavlik:
Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies. CoRR cs.AI/9705102 (1997) - 1996
- [j2]David W. Opitz, Jude W. Shavlik:
Actively Searching for an Effective Neural Network Ensemble. Connect. Sci. 8(3): 337-354 (1996) - 1995
- [b1]David W. Opitz:
An anytime approach to connectionist theory refinement - refining the topologies of knowledge-based neural networks. University of Wisconsin-Madison, WI, USA, Technical Report / University of Wisconsin, Madison / Computer Sciences Department 1281, 1995, pp. I-IX, 1-137 - [j1]David W. Opitz, Jude W. Shavlik:
Dynamically adding symbolically meaningful nodes to knowledge-based neural networks. Knowl. Based Syst. 8(6): 301-311 (1995) - [c4]David W. Opitz, Jude W. Shavlik:
Generating Accurate and Diverse Members of a Neural-Network Ensemble. NIPS 1995: 535-541 - 1994
- [c3]David W. Opitz, Jude W. Shavlik:
Using Genetic Search to Refine Knowledge-based Neural Networks. ICML 1994: 208-216 - 1993
- [c2]David W. Opitz, Jude W. Shavlik:
Heuristically Expanding Knowledge-Based Neural Networks. IJCAI 1993: 1360-1365 - 1991
- [c1]David W. Opitz:
A Study of Single Bit Spin Waiting Alternatives. ICPP (1) 1991: 666-667
Coauthor Index
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