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## Search the dblp DataBase
Ian Davidson:
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## Publications of Author- Ian Davidson
**An Ensemble Technique for Stable Learners with Performance Bounds.**[Citation Graph (0, 0)][DBLP] AAAI, 2004, pp:330-335 [Conf] - Ian Davidson, S. S. Ravi
**Identifying and Generating Easy Sets of Constraints for Clustering.**[Citation Graph (0, 0)][DBLP] AAAI, 2006, pp:- [Conf] - Kiri Wagstaff, Sugato Basu, Ian Davidson
**When Is Constrained Clustering Beneficial, and Why?.**[Citation Graph (0, 0)][DBLP] AAAI, 2006, pp:- [Conf] - Ke Yin, Ian Davidson
**Bayesian Model Averaging Across Model Spaces via Compact Encoding.**[Citation Graph (0, 0)][DBLP] AMAI, 2004, pp:- [Conf] - Ian Davidson, Minoo Aminian
**Using the Central Limit Theorem for Belief Network Learning.**[Citation Graph (0, 0)][DBLP] AMAI, 2004, pp:- [Conf] - Minoo Aminian, Ian Davidson
**Active Learning with Partially Labeled Data via Bias Reduction.**[Citation Graph (0, 0)][DBLP] FLAIRS Conference, 2005, pp:810-811 [Conf] - George Berg, Ian Davidson, Ming-Yuan Duan, Goutam Paul
**Searching for Hidden Messages: Automatic Detection of Steganography.**[Citation Graph (0, 0)][DBLP] IAAI, 2003, pp:51-56 [Conf] - Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu
**An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.**[Citation Graph (0, 0)][DBLP] ICDM, 2005, pp:605-608 [Conf] - Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li
**Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions.**[Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:753-764 [Conf] - Ke Yin, Ian Davidson
**An Information Theoretic Optimal Classifier for Semi-supervised Learning.**[Citation Graph (0, 0)][DBLP] IDEAL, 2004, pp:740-745 [Conf] - Ashwin Satyanarayana, Ian Davidson
**A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition.**[Citation Graph (0, 0)][DBLP] ISMIS, 2005, pp:631-640 [Conf] - Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi
**A general approach to incorporate data quality matrices into data mining algorithms.**[Citation Graph (0, 0)][DBLP] KDD, 2004, pp:794-798 [Conf] - Ian Davidson, Goutam Paul
**Locating secret messages in images.**[Citation Graph (0, 0)][DBLP] KDD, 2004, pp:545-550 [Conf] - Wei Fan, Ian Davidson
**Reverse testing: an efficient framework to select amongst classifiers under sample selection bias.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:147-156 [Conf] - Ke Yin, Ian Davidson
**Further Applications of a Particle Visualization Framework.**[Citation Graph (0, 0)][DBLP] PAKDD, 2004, pp:704-710 [Conf] - Ian Davidson, Wei Fan
**When Efficient Model Averaging Out-Performs Boosting and Bagging.**[Citation Graph (0, 0)][DBLP] PKDD, 2006, pp:478-486 [Conf] - Ian Davidson, S. S. Ravi
**Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results.**[Citation Graph (0, 0)][DBLP] PKDD, 2005, pp:59-70 [Conf] - Ian Davidson, Kiri Wagstaff, Sugato Basu
**Measuring Constraint-Set Utility for Partitional Clustering Algorithms.**[Citation Graph (0, 0)][DBLP] PKDD, 2006, pp:115-126 [Conf] - Arkadi Kosmynin, Ian Davidson
**Using Background Contextual Knowledge for Document Representation.**[Citation Graph (0, 0)][DBLP] PODP, 1996, pp:123-133 [Conf] - Ian Davidson
**Visualizing Clustering Results.**[Citation Graph (0, 0)][DBLP] SDM, 2002, pp:- [Conf] - Ian Davidson, S. S. Ravi
**Clustering with Constraints: Feasibility Issues and the k-Means Algorithm.**[Citation Graph (0, 0)][DBLP] SDM, 2005, pp:- [Conf] - Ian Davidson
**Minimum Message Length Clustering Using Gibbs Sampling.**[Citation Graph (0, 0)][DBLP] UAI, 2000, pp:160-167 [Conf] - Ian Davidson
**Testing conformance to OSI standards.**[Citation Graph (0, 0)][DBLP] Computer Communications, 1985, v:8, n:4, pp:170-179 [Journal] - Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang
**Editorial: Special issue on mining low-quality data.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2007, v:11, n:2, pp:131-136 [Journal] - Ian Davidson, S. S. Ravi
**Intractability and clustering with constraints.**[Citation Graph (0, 0)][DBLP] ICML, 2007, pp:201-208 [Conf] - Ian Davidson, S. S. Ravi, Martin Ester
**Efficient incremental constrained clustering.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:240-249 [Conf] - Rong Ge, Martin Ester, Wen Jin, Ian Davidson
**Constraint-driven clustering.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:320-329 [Conf] - Wei Fan, Ian Davidson
**On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples.**[Citation Graph (0, 0)][DBLP] SDM, 2007, pp:- [Conf] - Ian Davidson, S. S. Ravi
**The complexity of non-hierarchical clustering with instance and cluster level constraints.**[Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2007, v:14, n:1, pp:25-61 [Journal] **Semi-Supervised Dimension Reduction for Multi-Label Classification.**[Citation Graph (, )][DBLP]**Finding Alternative Clusterings Using Constraints.**[Citation Graph (, )][DBLP]**Discovering Contexts and Contextual Outliers Using Random Walks in Graphs.**[Citation Graph (, )][DBLP]**Knowledge Driven Dimension Reduction for Clustering.**[Citation Graph (, )][DBLP]**A principled and flexible framework for finding alternative clusterings.**[Citation Graph (, )][DBLP]**Unifying dependent clustering and disparate clustering for non-homogeneous data.**[Citation Graph (, )][DBLP]**Flexible constrained spectral clustering.**[Citation Graph (, )][DBLP]**A SAT-based Framework for Efficient Constrained Clustering.**[Citation Graph (, )][DBLP]**Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results.**[Citation Graph (, )][DBLP]
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