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Christopher J. Merz
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2000 – 2009
- 2000
- [c11]David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer:
Adaptivity in agent-based routing for data networks. Agents 2000: 396-403
1990 – 1999
- 1999
- [j3]Christopher J. Merz, Michael J. Pazzani:
A Principal Components Approach to Combining Regression Estimates. Mach. Learn. 36(1-2): 9-32 (1999) - [j2]Christopher J. Merz:
Using Correspondence Analysis to Combine Classifiers. Mach. Learn. 36(1-2): 33-58 (1999) - [i1]David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer:
Adaptivity in Agent-Based Routing for Data Networks. CoRR cs.MA/9912011 (1999) - 1997
- [c10]Christopher J. Merz, Michael J. Pazzani:
Combining Neural Network Regression Estimates Using Principal Components. AISTATS 1997: 363-370 - [c9]Christopher J. Merz:
Combining Classifiers Using Correspondence Analysis. NIPS 1997: 591-597 - 1996
- [j1]Christopher J. Merz, Michael J. Pazzani, Andrea Pohoreckyj Danyluk:
Tuning Numeric Parameters to Troubleshoot a Telephone-Network Loop. IEEE Expert 11(1): 44-49 (1996) - [c8]Christopher J. Merz, Michael J. Pazzani:
Combining Neural Network Regression Estimates with Regularized Linear Weights. NIPS 1996: 564-570 - 1995
- [c7]Christopher J. Merz:
Dynamical Selection of Learning Algorithms. AISTATS 1995: 281-290 - [c6]Takefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz:
Learning Hierarchies from Ambiguous Natural Language Data. ICML 1995: 575-583 - [c5]Takefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz:
Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique. Learning for Natural Language Processing 1995: 329-342 - 1994
- [c4]Michael J. Pazzani, Christopher J. Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk:
Reducing Misclassification Costs. ICML 1994: 217-225 - [c3]Christopher J. Merz, Michael J. Pazzani:
Parameter Tuning for the MAX Expert System. ICTAI 1994: 632-639 - 1992
- [c2]William E. Bond, Daniel C. St. Clair, Michael Amirfathi, Christopher J. Merz, Stephen R. Aylward:
Neural network analysis of nondestructive evaluation patterns. SAC 1992: 643-650 - 1990
- [c1]Christopher J. Merz, William E. Bond, Daniel C. St. Clair:
Matching Interval-Valued-Argument Propositions in Rule-Based Systems. ACM Conference on Computer Science 1990: 343-350
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