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Title:
Author:
Russell Greiner: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Russell Greiner, Douglas B. Lenat
    A Representation Language Language. [Citation Graph (2, 0)][DBLP]
    AAAI, 1980, pp:165-169 [Conf]
  2. Russell Greiner, Pekka Orponen
    Probably Approximately Optimal Derivation Strategies. [Citation Graph (1, 0)][DBLP]
    KR, 1991, pp:277-288 [Conf]
  3. Russell Greiner
    Finding Optimal Derivation Strategies in Redundant Knowledge Bases. [Citation Graph (1, 0)][DBLP]
    Artif. Intell., 1991, v:50, n:1, pp:95-115 [Journal]
  4. Russell Greiner, Ryan Hayward, Michael Molloy
    Optimal Depth-First Strategies for And-Or Trees. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:725-730 [Conf]
  5. Russell Greiner, Ramana Isukapalli
    Learning to Select Useful Landmarks. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:1251-1256 [Conf]
  6. Russell Greiner, Igor Jurisica
    A Statistical Approach to Solving the EBL Utility Problem. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:241-248 [Conf]
  7. Russell Greiner, Wei Zhou
    Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:167-173 [Conf]
  8. Yuhong Guo, Russell Greiner
    Discriminative Model Selection for Belief Net Structures. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:770-776 [Conf]
  9. Benjamin Korvemaker, Russell Greiner
    Predicting UNIX Command Lines: Adjusting to User Patterns. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:230-235 [Conf]
  10. Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik
    Visual Explanation of Evidence with Additive Classifiers. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  11. Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Roman Eisner, Alona Fyshe, Brandon Pearcy, Luca Pireddu
    The Proteome Analyst Suite of Automated Function Prediction Tools. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1698-1699 [Conf]
  12. Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price
    Goal-Directed Site-Independent Recommendations from Passive Observations. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:549-557 [Conf]
  13. Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans
    Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  14. Jie Cheng, Russell Greiner
    Learning Bayesian Belief Network Classifiers: Algorithms and System. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2001, pp:141-151 [Conf]
  15. Marianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt
    A Classification-Based Glioma Diffusion Model Using MRI Data. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2006, pp:98-109 [Conf]
  16. Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner
    Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression. [Citation Graph (0, 0)][DBLP]
    AMFG, 2005, pp:70-84 [Conf]
  17. Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner
    Towards Automated Creation of Image Interpretation Systems. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:653-665 [Conf]
  18. Roman Eisner, Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner
    Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:354-363 [Conf]
  19. Omid Madani, Daniel J. Lizotte, Russell Greiner
    The Budgeted Multi-armed Bandit Problem. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:643-645 [Conf]
  20. Pekka Orponen, Russell Greiner
    On the Sample Complexity of Finding Good Search Strategies. [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:352-358 [Conf]
  21. Dale Schuurmans, Russell Greiner
    Sequential PAC Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:377-384 [Conf]
  22. Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner
    Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    CVBIA, 2005, pp:469-478 [Conf]
  23. Russell Greiner, Dale Schuurmans
    Learning an Optimally Accurate Representation System. [Citation Graph (0, 0)][DBLP]
    ECAI Workshop on Knowledge Representation and Reasoning, 1992, pp:145-159 [Conf]
  24. Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner
    Learning to Detect Objects of Many Classes Using Binary Classifiers. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2006, pp:352-364 [Conf]
  25. Aloak Kapoor, Russell Greiner
    Learning and Classifying Under Hard Budgets. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:170-181 [Conf]
  26. Lihong Li, Vadim Bulitko, Russell Greiner
    Batch Reinforcement Learning with State Importance. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:566-568 [Conf]
  27. Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner
    Learning to Identify Facial Expression During Detection Using Markov Decision Process. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:305-310 [Conf]
  28. Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
    Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. [Citation Graph (0, 0)][DBLP]
    ICGI, 2006, pp:97-111 [Conf]
  29. Tim Van Allen, Russell Greiner
    Model Selection Criteria for Learning Belief Nets: An Empirical Comparison. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1047-1054 [Conf]
  30. Russell Greiner
    Towards a Formal Analysis of EBL. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:450-453 [Conf]
  31. Russell Greiner
    The Challenge of Revising an Impure Theory. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:269-277 [Conf]
  32. Russell Greiner, Adam J. Grove, Alexander Kogan
    Exploiting the Omission of Irrelevant Data. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:216-224 [Conf]
  33. Russell Greiner, Adam J. Grove, Dan Roth
    Learning Active Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:207-215 [Conf]
  34. Chi-Hoon Lee, Russell Greiner, Shaojun Wang
    Using query-specific variance estimates to combine Bayesian classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:529-536 [Conf]
  35. Tobias Scheffer, Russell Greiner, Christian Darken
    Why Experimentation can be better than "Perfect Guidance". [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:331-339 [Conf]
  36. Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng
    Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:948-955 [Conf]
  37. Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner
    Learning Policies for Efficiently Identifying Objects of Many Classes. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:356-361 [Conf]
  38. Ramana Isukapalli, Russell Greiner
    Efficient Car Recognition Policies. [Citation Graph (0, 0)][DBLP]
    ICRA, 2001, pp:2134-2139 [Conf]
  39. Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng
    Discriminative Parameter Learning of General Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:296-305 [Conf]
  40. Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner
    Lookahead Pathologies for Single Agent Search. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1531-1533 [Conf]
  41. Russell Greiner
    The Complexity of Theory Revision. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1162-1168 [Conf]
  42. Russell Greiner, Charles Elkan
    Measuring and Improving the Effectiveness of Representations. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1991, pp:518-524 [Conf]
  43. Russell Greiner, Michael R. Genesereth
    What's New? A Semantic Definition of Novelty. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:450-454 [Conf]
  44. Russell Greiner, J. Likuski
    Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:744-749 [Conf]
  45. Yuhong Guo, Russell Greiner, Dale Schuurmans
    Learning Coordination Classifiers. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:714-721 [Conf]
  46. Ramana Isukapalli, Russell Greiner
    Efficient Interpretation Policies. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:1381-1390 [Conf]
  47. Ramana Isukapalli, Russell Greiner
    Use of Off-line Dynamic Programming for Efficient Image Interpretation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1319-1325 [Conf]
  48. Dale Schuurmans, Russell Greiner
    Practical PAC Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1169-1177 [Conf]
  49. Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price
    Using Learned Browsing Behavior Models to Recommend Relevant Web Pages. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1589-1590 [Conf]
  50. Tingshao Zhu, Russell Greiner, Gerald Häubl, Robert Price
    Predicting Web Information Content. [Citation Graph (0, 0)][DBLP]
    ITWP, 2003, pp:241-254 [Conf]
  51. Yuhong Guo, Russell Greiner
    Optimistic Active-Learning Using Mutual Information. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:823-829 [Conf]
  52. Robert Price, Russell Greiner, Gerald Häubl, Alden Flatt
    Automatic construction of personalized customer interfaces. [Citation Graph (0, 0)][DBLP]
    Intelligent User Interfaces, 2006, pp:250-257 [Conf]
  53. Russell Greiner, Dale Schuurmans
    Learning Useful Horn Approximations. [Citation Graph (0, 0)][DBLP]
    KR, 1992, pp:383-392 [Conf]
  54. Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans
    Information Marginalization on Subgraphs. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:199-210 [Conf]
  55. Chi-Hoon Lee, Russell Greiner, Mark Schmidt
    Support Vector Random Fields for Spatial Classification. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:121-132 [Conf]
  56. Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane
    Efficient Spatial Classification Using Decoupled Conditional Random Fields. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:272-283 [Conf]
  57. Russell Greiner
    Learning Efficient Query Processing Strategies. [Citation Graph (0, 15)][DBLP]
    PODS, 1992, pp:33-46 [Conf]
  58. Ilya Levner, Vadim Bulitko, Omid Madani, Russell Greiner
    Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:299-307 [Conf]
  59. Tim Van Allen, Russell Greiner, Peter Hooper
    Bayesian Error-Bars for Belief Net Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:522-529 [Conf]
  60. Jie Cheng, Russell Greiner
    Comparing Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:101-108 [Conf]
  61. Russell Greiner, Adam J. Grove, Dale Schuurmans
    Learning Bayesian Nets that Perform Well. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:198-207 [Conf]
  62. Daniel J. Lizotte, Omid Madani, Russell Greiner
    Budgeted Learning of Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:378-385 [Conf]
  63. Tingshao Zhu, Russell Greiner, Gerald Häubl
    Learning a Model of a Web User's Interests. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2003, pp:65-75 [Conf]
  64. Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price
    Off-line Evaluation of Recommendation Functions. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:337-341 [Conf]
  65. Tingshao Zhu, Russell Greiner, Gerald Häubl
    An Effective Complete-Web Recommender System. [Citation Graph (0, 0)][DBLP]
    WWW (Alternate Paper Tracks), 2003, pp:- [Conf]
  66. Jie Cheng, Russell Greiner, Jonathan Kelly, David A. Bell, Weiru Liu
    Learning Bayesian networks from data: An information-theory based approach. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:137, n:1-2, pp:43-90 [Journal]
  67. Charles Elkan, Russell Greiner
    D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1993, v:61, n:1, pp:41-52 [Journal]
  68. Russell Greiner
    Learning by Understanding Analogies. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1988, v:35, n:1, pp:81-125 [Journal]
  69. Russell Greiner
    PALO: A Probabilistic Hill-Climbing Algorithm. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:84, n:1-2, pp:177-208 [Journal]
  70. Russell Greiner, Adam J. Grove, Alexander Kogan
    Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:97, n:1-2, pp:345-380 [Journal]
  71. Russell Greiner, Adam J. Grove, Dan Roth
    Learning cost-sensitive active classifiers. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:139, n:2, pp:137-174 [Journal]
  72. Russell Greiner, Ryan Hayward, Magdalena Jankowska, Michael Molloy
    Finding optimal satisficing strategies for and-or trees. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:1, pp:19-58 [Journal]
  73. Russell Greiner, Pekka Orponen
    Probably Approximately Optimal Satisficing Strategies. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:82, n:1-2, pp:21-44 [Journal]
  74. Russell Greiner, Barbara A. Smith, Ralph W. Wilkerson
    A Correction to the Algorithm in Reiter's Theory of Diagnosis. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1989, v:41, n:1, pp:79-88 [Journal]
  75. Devika Subramanian, Russell Greiner, Judea Pearl
    The Relevance of Relevance (Editorial). [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:97, n:1-2, pp:1-5 [Journal]
  76. Zhiyong Lu, Duane Szafron, Russell Greiner, Paul Lu, David S. Wishart, Brett Poulin, John Anvik, Cam Macdonell, Roman Eisner
    Predicting subcellular localization of proteins using machine-learned classifiers. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:4, pp:- [Journal]
  77. Russell Greiner
    Against the unjustified use of probabilities. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1988, v:4, n:, pp:79-83 [Journal]
  78. Russell Greiner, Christian Darken, N. Iwan Santoso
    Efficient reasoning. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 2001, v:33, n:1, pp:1-30 [Journal]
  79. Russell Greiner
    The Complexity of Revising Logic Programs. [Citation Graph (0, 0)][DBLP]
    J. Log. Program., 1999, v:40, n:2-3, pp:273-298 [Journal]
  80. Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou
    Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:3, pp:297-322 [Journal]
  81. Russell Greiner
    A Review of Machine Learning at AAAI-87. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1988, v:3, n:, pp:79-92 [Journal]
  82. Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Brett Poulin, Roman Eisner, Zhiyong Lu, John Anvik, Cam Macdonell, Alona Fyshe, David Meeuwis
    Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Web-Server-Issue, pp:365-371 [Journal]
  83. Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Brett Poulin, Roman Eisner, Danny Ngo, Nicholas Lamb
    PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Database-Issue, pp:147-153 [Journal]
  84. Gary H. Van Domselaar, Paul Stothard, Savita Shrivastava, Joseph A. Cruz, Anchi Guo, Xiaoli Dong, Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart
    BASys: a web server for automated bacterial genome annotation. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:455-459 [Journal]
  85. Luca Pireddu, Duane Szafron, Paul Lu, Russell Greiner
    The Path-A metabolic pathway prediction web server. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:714-719 [Journal]
  86. David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, Anchi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian J. Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David. D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russell Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser
    HMDB: the Human Metabolome Database. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2007, v:35, n:Database-Issue, pp:521-526 [Journal]
  87. Oliver Schulte, Wei Luo, Russell Greiner
    Mind Change Optimal Learning of Bayes Net Structure. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:187-202 [Conf]
  88. Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
    Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:793-800 [Conf]
  89. Omid Madani, Daniel J. Lizotte, Russell Greiner
    Active Model Selection. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:357-365 [Conf]

  90. Constrained Classification on Structured Data. [Citation Graph (, )][DBLP]


  91. A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra. [Citation Graph (, )][DBLP]


  92. The IMAP Hybrid Method for Learning Gaussian Bayes Nets. [Citation Graph (, )][DBLP]


  93. Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach. [Citation Graph (, )][DBLP]


  94. A Mixture Imputation-Boosted Collaborative Filter. [Citation Graph (, )][DBLP]


  95. VipBoost: A More Accurate Boosting Algorithm. [Citation Graph (, )][DBLP]


  96. Supervised image segmentation via ground truth decomposition. [Citation Graph (, )][DBLP]


  97. Learning when to stop thinking and do something! [Citation Graph (, )][DBLP]


  98. Learning to segment from a few well-selected training images. [Citation Graph (, )][DBLP]


  99. Budgeted Distribution Learning of Belief Net Parameters. [Citation Graph (, )][DBLP]


  100. Does Wikipedia Information Help Netflix Predictions? [Citation Graph (, )][DBLP]


  101. Segmenting brain tumors using alignment-based features. [Citation Graph (, )][DBLP]


  102. Using Imputation Techniques to Help Learn Accurate Classifiers. [Citation Graph (, )][DBLP]


  103. Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. [Citation Graph (, )][DBLP]


  104. Session Introduction. [Citation Graph (, )][DBLP]


  105. Imputation-boosted collaborative filtering using machine learning classifiers. [Citation Graph (, )][DBLP]


  106. Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. [Citation Graph (, )][DBLP]


  107. Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. [Citation Graph (, )][DBLP]


  108. Imputed Neighborhood Based Collaborative Filtering. [Citation Graph (, )][DBLP]


  109. A Cover-Based Approach to Multi-Agent Moving Target Pursuit. [Citation Graph (, )][DBLP]


  110. A new hybrid method for Bayesian network learning With dependency constraints. [Citation Graph (, )][DBLP]


  111. Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference. [Citation Graph (, )][DBLP]


  112. Improving subcellular localization prediction using text classification and the gene ontology. [Citation Graph (, )][DBLP]


  113. Predicting homologous signaling pathways using machine learning. [Citation Graph (, )][DBLP]


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