C. Merz

Most-cited papers

UCI Repository of Machine Learning Databases
C. Merz
19962,174 citations
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Reducing Misclassification Costs
M. Pazzani, C. Merz, P. Murphy, K. M. Ali +2 more
1994International Conference on Machine Learning380 citations
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Using Correspondence Analysis to Combine Classifiers
C. Merz
1999Machine-mediated learning241 citations Open access
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A Principal Components Approach to Combining Regression Estimates
C. Merz, M. Pazzani
1999Machine-mediated learning115 citations Open access
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Dynamical Selection of Learning Algorithms
C. Merz
1995International Conference on Artificial Intelligence and Statistics90 citations
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Classification and regression by combining models
C. Merz, M. Pazzani
199864 citations
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Combining Neural Network Regression Estimates with Regularized Linear Weights
C. Merz, M. Pazzani
1996Neural Information Processing Systems50 citations
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SeMi-supervised adaptive resonance theory (SMART2)
C. Merz, D. S. Clair, W. Bond
1992[Proceedings 1992] IJCNN International Joint Conference on Neural Networks35 citations
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Combining Classifiers Using Correspondence Analysis
C. Merz
1997Neural Information Processing Systems22 citations
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Learning Hierarchies from Ambiguous Natural Language Data
T. Yamazaki, M. Pazzani, C. Merz
1995International Conference on Machine Learning16 citations Open access
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Neural network analysis of nondestructive evaluation patterns
W. Bond, D. S. Clair, M. Amirfathi, C. Merz +1 more
1992ACM Symposium on Applied Computing9 citations Open access
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Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique
T. Yamazaki, M. Pazzani, C. Merz
1995Learning for Natural Language Processing5 citations
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Tuning Numeric Parameters of a Knowledge-Based System for Troubleshooting the Local Loop of the Telephone Network.
C. Merz, M. Pazzani, A. Danyluk
19943 citations
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Handling Redundancy in Ensembles of Learned Models Using Principal Components
C. Merz, M. Pazzani
19982 citations
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Temporal Boosting for Incremental Tree-based Learning on Tabular Data
Rahul Gupta, P. Pote, Bhanupriya Pegu, Maneet Singh +2 more
2025ACM IKDD Conference on Data Science0 citations Open access
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Table 5. Classiication Accuracy of the Minimum Risk Metric with the Naive Estima- Tor, Dvdm and Heom. Signiicative Diierences (p < 0:05) Are Shown. Mrm H = N Dvdm Heom Data Set Naive (mn) Annealing
C. Merz, P. Murphy, D. W. Scott, Multivariate +6 more
19990 citations
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Combining Neural Network Regression Estimates Using Principal Components
C. Merz, M. Pazzani
1997International Conference on Artificial Intelligence and Statistics0 citations
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Automated reasoning
D. P. Murphy, C. Merz
1992IEEE potentials0 citations
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An implementation of "Theorem proving with lemmas"
C. Merz
19910 citations
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Matching interval-valued-argument propositions in rule-based systems
C. Merz, W. Bond, D. S. Stclair
1990International Conference on Scientific Computing0 citations
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