| 2000 |
|---|
| 12 | EE | David Wolpert,
Sergey Kirshner,
Christopher J. Merz,
Kagan Tumer:
Adaptivity in agent-based routing for data networks.
Agents 2000: 396-403 |
| 1999 |
|---|
| 11 | EE | David Wolpert,
Sergey Kirshner,
Christopher J. Merz,
Kagan Tumer:
Adaptivity in Agent-Based Routing for Data Networks
CoRR cs.MA/9912011: (1999) |
| 10 | | Christopher J. Merz:
Using Correspondence Analysis to Combine Classifiers.
Machine Learning 36(1-2): 33-58 (1999) |
| 9 | | Christopher J. Merz,
Michael J. Pazzani:
A Principal Components Approach to Combining Regression Estimates.
Machine Learning 36(1-2): 9-32 (1999) |
| 1997 |
|---|
| 8 | | Christopher J. Merz:
Combining Classifiers Using Correspondence Analysis.
NIPS 1997 |
| 1996 |
|---|
| 7 | EE | Christopher J. Merz,
Michael J. Pazzani:
Combining Neural Network Regression Estimates with Regularized Linear Weights.
NIPS 1996: 564-570 |
| 6 | EE | 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) |
| 1995 |
|---|
| 5 | | Takefumi Yamazaki,
Michael J. Pazzani,
Christopher J. Merz:
Learning Hierarchies from Ambiguous Natural Language Data.
ICML 1995: 575-583 |
| 4 | | 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 |
|---|
| 3 | | Michael J. Pazzani,
Christopher J. Merz,
Patrick M. Murphy,
Kamal Ali,
Timothy Hume,
Clifford Brunk:
Reducing Misclassification Costs.
ICML 1994: 217-225 |
| 2 | | Christopher J. Merz,
Michael J. Pazzani:
Parameter Tuning for the MAX Expert System.
ICTAI 1994: 632-639 |
| 1990 |
|---|
| 1 | EE | Christopher J. Merz,
W. E. Bond,
Daniel C. St. Clair:
Matching Interval-Valued-Argument Propositions in Rule-Based Systems.
ACM Conference on Computer Science 1990: 343-350 |
