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Note: Links lead to the DBLP on the Web. Ian Davidson Minoo Aminian , Ian Davidson: Active Learning with Partially Labeled Data via Bias Reduction. FLAIRS Conference 2005 : 810-811 Wei Fan , Ian Davidson, Bianca Zadrozny , Philip S. Yu : An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. ICDM 2005 : 605-608 Ashwin Satyanarayana , Ian Davidson: A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition. ISMIS 2005 : 631-640 Ian Davidson, S. S. Ravi : Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results. PKDD 2005 : 59-70 Ian Davidson, S. S. Ravi : Clustering with Constraints: Feasibility Issues and the k-Means Algorithm. SDM 2005 Ian Davidson: An Ensemble Technique for Stable Learners with Performance Bounds. AAAI 2004 : 330-335 Ke Yin , Ian Davidson: Bayesian Model Averaging Across Model Spaces via Compact Encoding. AMAI 2004 Ian Davidson, Minoo Aminian : Using the Central Limit Theorem for Belief Network Learning. AMAI 2004 Ke Yin , Ian Davidson: An Information Theoretic Optimal Classifier for Semi-supervised Learning. IDEAL 2004 : 740-745 Ian Davidson, Goutam Paul : Locating secret messages in images. KDD 2004 : 545-550 Ian Davidson, Ashish Grover , Ashwin Satyanarayana , Giri Kumar Tayi : A general approach to incorporate data quality matrices into data mining algorithms. KDD 2004 : 794-798 Ke Yin , Ian Davidson: Further Applications of a Particle Visualization Framework. PAKDD 2004 : 704-710 George Berg , Ian Davidson, Ming-Yuan Duan , Goutam Paul : Searching for Hidden Messages: Automatic Detection of Steganography. IAAI 2003 : 51-56 Ian Davidson: Visualizing Clustering Results. SDM 2002 Ian Davidson: Minimum Message Length Clustering Using Gibbs Sampling. UAI 2000 : 160-167 Arkadi Kosmynin , Ian Davidson: Using Background Contextual Knowledge for Document Representation. PODP 1996 : 123-133 1 [ 9 ] [ 16 ] 2 [ 4 ] 3 [ 4 ] 4 [ 15 ] 5 [ 6 ] 6 [ 1 ] 7 [ 4 ] [ 7 ] 8 [ 12 ] [ 13 ] 9 [ 6 ] [ 14 ] 10 [ 6 ] 11 [ 5 ] [ 8 ] [ 10 ] 12 [ 15 ] 13 [ 15 ]  ©2006 Association for Computing Machinery |
