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Jaime G. Carbonell: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jaime G. Carbonell
    Default Reasoning and Inheritance Mechanisms on Type Hierarchies. [Citation Graph (3, 0)][DBLP]
    Workshop on Data Abstraction, Databases and Conceptual Modelling, 1980, pp:107-109 [Conf]
  2. Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil
    Explanation-Based Learning: A Problem Solving Perspective. [Citation Graph (3, 0)][DBLP]
    Artif. Intell., 1989, v:40, n:1-3, pp:63-118 [Journal]
  3. Jaime G. Carbonell
    Introduction: Paradigms for Machine Learning. [Citation Graph (1, 0)][DBLP]
    Artif. Intell., 1989, v:40, n:1-3, pp:1-9 [Journal]
  4. Jaime G. Carbonell, Philip J. Hayes
    Recovery Strategies for Parsing Extragrammatical Language. [Citation Graph (1, 0)][DBLP]
    American Journal of Computational Linguistics, 1983, v:9, n:3-4, pp:123-146 [Journal]
  5. Jaime G. Carbonell
    DELTA-MIN: A Search-Control Method for Information-Gathering Problems. [Citation Graph (0, 0)][DBLP]
    AAAI, 1980, pp:124-127 [Conf]
  6. Jaime G. Carbonell
    Experiential Learning in Analogical Problem Solving. [Citation Graph (0, 0)][DBLP]
    AAAI, 1982, pp:168-171 [Conf]
  7. Jaime G. Carbonell
    Derivational Analogy and Its Role in Problem Solving. [Citation Graph (0, 0)][DBLP]
    AAAI, 1983, pp:64-69 [Conf]
  8. Patricia Cheng, Jaime G. Carbonell
    The FERMI System: Inducing Iterative Macro-Operators from Experience. [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:490-495 [Conf]
  9. Vibhu O. Mittal, Mark Kantrowitz, Jade Goldstein, Jaime G. Carbonell
    Selecting Text Spans for Document Summaries: Heuristics and Metrics. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:467-473 [Conf]
  10. Jaime G. Carbonell
    Metapher - A Key to Extensible Semantic Analysis. [Citation Graph (0, 0)][DBLP]
    ACL, 1980, pp:- [Conf]
  11. Jaime G. Carbonell
    Towards a Self-Extending Parser. [Citation Graph (0, 0)][DBLP]
    ACL, 1979, pp:- [Conf]
  12. M. Alicia Pérez, Jaime G. Carbonell
    Control Knowledge to Improve Plan Quality. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:323-328 [Conf]
  13. Ariadna Font Llitjós, Katharina Probst, Jaime G. Carbonell
    Error Analysis of Two Types of Grammar for the Purpose of Automatic Rule Refinement. [Citation Graph (0, 0)][DBLP]
    AMTA, 2004, pp:187-196 [Conf]
  14. Jaime G. Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie, Ralf D. Brown, Lori S. Levin
    Automatic Rule Learning for Resource-Limited MT. [Citation Graph (0, 0)][DBLP]
    AMTA, 2002, pp:1-10 [Conf]
  15. Betty Yee Man Cheng, Jaime G. Carbonell
    Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. [Citation Graph (0, 0)][DBLP]
    APBC, 2007, pp:363-372 [Conf]
  16. Jaime G. Carbonell
    Grand challenges for information management. [Citation Graph (0, 0)][DBLP]
    CIKM, 2003, pp:1- [Conf]
  17. Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonell, James P. Callan
    Creating and Evaluating Multi-Document Sentence Extract Summaries. [Citation Graph (0, 0)][DBLP]
    CIKM, 2000, pp:165-172 [Conf]
  18. Lucian Vlad Lita, Jaime G. Carbonell
    Unsupervised question answering data acquisition from local corpora. [Citation Graph (0, 0)][DBLP]
    CIKM, 2004, pp:607-614 [Conf]
  19. Yan Liu, Yiming Yang, Jaime G. Carbonell
    Boosting to correct inductive bias in text classification. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:348-355 [Conf]
  20. Lucian Vlad Lita, Monica Rogati, Jaime G. Carbonell
    Cross Lingual QA: A Modular Baseline in CLEF 2003. [Citation Graph (0, 0)][DBLP]
    CLEF, 2003, pp:535-540 [Conf]
  21. Jaime G. Carbonell
    Is There Natural Language after Data Bases? [Citation Graph (0, 0)][DBLP]
    COLING, 1984, pp:186-187 [Conf]
  22. Jaime G. Carbonell, Ralf D. Brown
    Anaphora resolution: a multy-strategy approach. [Citation Graph (0, 0)][DBLP]
    COLING, 1988, pp:96-101 [Conf]
  23. Jaime G. Carbonell, Philip J. Hayes
    Coping with Extragrammaticality. [Citation Graph (0, 0)][DBLP]
    COLING, 1984, pp:437-443 [Conf]
  24. Philip J. Hayes, Alexander G. Hauptmann, Jaime G. Carbonell, Masaru Tomita
    Parsing Spoken Language: A Semantic Caseframe Approach. [Citation Graph (0, 0)][DBLP]
    COLING, 1986, pp:587-592 [Conf]
  25. Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell
    Evaluation Metrics for Knowledge-Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 1994, pp:95-99 [Conf]
  26. Masaru Tomita, Jaime G. Carbonell
    Another Stride Towards Knowledge-Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 1986, pp:633-638 [Conf]
  27. Wolfgang Wahlster, Jaime G. Carbonell, Gary G. Hendrix, Harry R. Tennant
    Natural Language Interfaces - Ready for Commercial Success? [Citation Graph (0, 0)][DBLP]
    COLING, 1986, pp:161-167 [Conf]
  28. S. Su, José A. B. Fortes, T. R. Kasad, M. Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, W. Ward, R. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, C. McSweeney, L. deBrens, J. Ventura, P. Taveras, R. Connolly, C. Ortega, B. Piñeres, O. Brooks, M. Herrera
    A Prototype System for Transnational Information Sharing and Process Coordination. [Citation Graph (0, 0)][DBLP]
    DG.O, 2004, pp:- [Conf]
  29. S. Su, José A. B. Fortes, T. R. Kasad, M. Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, W. Ward, R. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, C. McSweeney, L. deBrens, J. Ventura, P. Taveras, R. Connolly, C. Ortega, B. Piñeres, O. Brooks, M. Herrera
    A Prototype System for Transnational Information Sharing and Process Coordination: System Demo. [Citation Graph (0, 0)][DBLP]
    DG.O, 2004, pp:- [Conf]
  30. Yan Liu, Jaime G. Carbonell, Rong Jin
    A New Pairwise Ensemble Approach for Text Classification. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:277-288 [Conf]
  31. Manuela M. Veloso, Jaime G. Carbonell
    Learning by Analogical Replay in PRODIGY: First Results. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:375-390 [Conf]
  32. Yan Liu, Eric P. Xing, Jaime G. Carbonell
    Predicting protein folds with structural repeats using a chain graph model. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:513-520 [Conf]
  33. Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe
    Is Production System Match Interesting? [Citation Graph (0, 0)][DBLP]
    ICTAI, 1992, pp:2-3 [Conf]
  34. Chun Jin, Jaime G. Carbonell
    ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. [Citation Graph (0, 0)][DBLP]
    IDEAS, 2006, pp:256-262 [Conf]
  35. Jaime G. Carbonell
    A Computational Model of Analogical Problem Solving. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:147-152 [Conf]
  36. Jaime G. Carbonell
    A Computational Model of Analogical Problem Solving. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:147-152 [Conf]
  37. Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick
    The XCALIBUR Project: A Natural Language Interface to Expert Systems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:653-656 [Conf]
  38. Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee
    Translingual Information Retrieval: A Comparative Evaluation. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:708-715 [Conf]
  39. Philip J. Hayes, Jaime G. Carbonell
    Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:432-439 [Conf]
  40. Philip J. Hayes, Jaime G. Carbonell
    A Framework for Processing Corrections in Task-Oriented Dialogues. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:668-670 [Conf]
  41. James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom
    VERY Large Knowledge Bases - Architecture vs Engineering. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:2033-2036 [Conf]
  42. Steven Minton, Jaime G. Carbonell
    Strategies for Learning Search Control Rules: An Explanation-based Approach. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:228-235 [Conf]
  43. Peter Shell, Jaime G. Carbonell
    Towards a General Framework for Composing Disjunctive and Iterative Macro-operators. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:596-602 [Conf]
  44. Masaru Tomita, Jaime G. Carbonell
    The Universal Parser Architecture for Knowledge-based Machine Translation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:718-721 [Conf]
  45. Jingrui He, Jaime G. Carbonell, Yan Liu
    Graph-Based Semi-Supervised Learning as a Generative Model. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2492-2497 [Conf]
  46. Lucian Vlad Lita, Jaime G. Carbonell
    Cluster-Based Selection of Statistical Answering Strategies. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1653-1658 [Conf]
  47. Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
    Protein Quaternary Fold Recognition Using Conditional Graphical Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:937-945 [Conf]
  48. Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman
    A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:29-37 [Conf]
  49. Chun Jin, Jaime G. Carbonell
    Incremental Aggregation on Multiple Continuous Queries. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:167-177 [Conf]
  50. Chun Jin, Jaime G. Carbonell, Philip J. Hayes
    ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:142-151 [Conf]
  51. Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin
    Topic-conditioned novelty detection. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:688-693 [Conf]
  52. Jaime G. Carbonell
    Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). [Citation Graph (0, 0)][DBLP]
    KR, 1994, pp:633- [Conf]
  53. Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
    Spectral Clustering for Example Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2006, pp:- [Conf]
  54. Jaime G. Carbonell
    Session 3: Machine Translation. [Citation Graph (0, 0)][DBLP]
    HLT, 1991, pp:- [Conf]
  55. Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
    Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2005, pp:408-422 [Conf]
  56. Paul N. Bennett, Jaime G. Carbonell
    Detecting action-items in e-mail. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:585-586 [Conf]
  57. Jaime G. Carbonell
    Lessons from TIPSTER/SHOGUN/JANUS. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1993, pp:225- [Conf]
  58. Jaime G. Carbonell, Jade Goldstein
    The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1998, pp:335-336 [Conf]
  59. Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, Jaime G. Carbonell
    Summarizing Text Documents: Sentence Selection and Evaluation Metrics. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1999, pp:121-128 [Conf]
  60. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
    Context sensitive vocabulary and its application in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2004, pp:538-539 [Conf]
  61. Yiming Yang, Thomas Pierce, Jaime G. Carbonell
    A Study of Retrospective and On-Line Event Detection. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1998, pp:28-36 [Conf]
  62. L. Peter Deutsch, Jaime G. Carbonell, Charles Rich, Raymond Reiter, Hartmut Wedekind, Patrick J. Hayes
    Presentation (discussion). [Citation Graph (0, 0)][DBLP]
    Workshop on Data Abstraction, Databases and Conceptual Modelling, 1980, pp:62-71 [Conf]
  63. John Miles Smith, Charles Rich, Jonathan J. King, Peter Hitchcock, Alexander Borgida, Jaime G. Carbonell
    Consistency of Models (discussion). [Citation Graph (0, 0)][DBLP]
    Workshop on Data Abstraction, Databases and Conceptual Modelling, 1980, pp:72-76 [Conf]
  64. Eugene Fink, Aaron Goldstein, Philip J. Hayes, Jaime G. Carbonell
    Search for approximate matches in large databases. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1431-1435 [Conf]
  65. Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell, James P. Callan, Kevyn Collins-Thompson, Krzysztof Czuba, Michael Duggan, Laurie Hiyakumoto, N. Hu, Yifen Huang, Jeongwoo Ko, Lucian Vlad Lita, S. Murtagh, Vasco Pedro, David Svoboda
    The JAVELIN Question-Answering System at TREC 2002. [Citation Graph (0, 0)][DBLP]
    TREC, 2002, pp:- [Conf]
  66. Eric Nyberg, Teruko Mitamura, James P. Callan, Jaime G. Carbonell, Robert E. Frederking, Kevyn Collins-Thompson, Laurie Hiyakumoto, Yifen Huang, Curtis Huttenhower, Scott Judy, Jeongwoo Ko, Anna Kupsc, Lucian Vlad Lita, Vasco Pedro, David Svoboda, Benjamin Van Durme
    The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. [Citation Graph (0, 0)][DBLP]
    TREC, 2003, pp:- [Conf]
  67. Jaime G. Carbonell
    Towards a Process Model of Human Personality Traits. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1980, v:15, n:1-2, pp:49-74 [Journal]
  68. Jaime G. Carbonell
    Counterplanning: A Strategy-Based Model of Adversary Planning in Real-World Situations. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1981, v:16, n:3, pp:295-329 [Journal]
  69. Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking
    Translingual Information Retrieval: Learning from Bilingual Corpora. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:103, n:1-2, pp:323-345 [Journal]
  70. Jaime G. Carbonell
    Artificial Intelligence Research at Carnegie-Mellon University. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1980, v:2, n:1, pp:29-34 [Journal]
  71. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
    Machine Learning: A Historical and Methodological Analysis. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1983, v:4, n:3, pp:69-79 [Journal]
  72. Jaime G. Carbonell, Derek H. Sleeman
    Artificial Intelligence Techniques and Methodology. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1982, v:3, n:2, pp:47- [Journal]
  73. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
    Comparison of probabilistic combination methods for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:3099-3107 [Journal]
  74. Jill H. Larkin, Frederick Reif, Jaime G. Carbonell, Angela Gugliotta
    FERMI: A Flexible Expert Reasoner with Multi-Domain Inferencing. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1988, v:12, n:1, pp:101-138 [Journal]
  75. Jaime G. Carbonell, Roger C. Schank
    Comments on the paper of Cherniavsky: "On artificial intelligence and attempts to disprove its existance". [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 1978, v:3, n:3, pp:227-230 [Journal]
  76. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:5-6 [Journal]
  77. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:113-115 [Journal]
  78. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1991, v:6, n:, pp:5- [Journal]
  79. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1991, v:7, n:, pp:5- [Journal]
  80. Jaime G. Carbonell
    Machine Learning: A Maturing Field. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:5-7 [Journal]
  81. Jaime G. Carbonell, Yiming Yang, William W. Cohen
    Special Issue of Machine Learning on Information Retrieval - Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:39, n:2/3, pp:99-101 [Journal]
  82. Manuela M. Veloso, Jaime G. Carbonell
    Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:10, n:, pp:249-278 [Journal]
  83. Sergei Nirenburg, Jaime G. Carbonell
    Integrating discourse pragmatics and propositional knowledge for multilingual natural language processing. [Citation Graph (0, 0)][DBLP]
    Machine Translation, 1987, v:2, n:2-3, pp:105-116 [Journal]
  84. Katharina Probst, Lori S. Levin, Erik Peterson, Alon Lavie, Jaime G. Carbonell
    MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules. [Citation Graph (0, 0)][DBLP]
    Machine Translation, 2002, v:17, n:4, pp:245-270 [Journal]
  85. Jaime G. Carbonell, Oren Etzioni, Yolanda Gil, Robert Joseph, Craig A. Knoblock, Steven Minton, Manuela M. Veloso
    PRODIGY: An Integrated Architecture for Planning and Learning. [Citation Graph (0, 0)][DBLP]
    SIGART Bulletin, 1991, v:2, n:4, pp:51-55 [Journal]
  86. Alon Lavie, Stephan Vogel, Lori S. Levin, Erik Peterson, Katharina Probst, Ariadna Font Llitjós, Rachel Reynolds, Jaime G. Carbonell, Richard Cohen
    Experiments with a Hindi-to-English transfer-based MT system under a miserly data scenario. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Asian Lang. Inf. Process., 2003, v:2, n:2, pp:143-163 [Journal]
  87. Meryem Pinar Dönmez, Jaime G. Carbonell, Paul N. Bennett
    Dual Strategy Active Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:116-127 [Conf]
  88. Vasco Pedro, Lucian Vlad Lita, Stefan Niculescu, Bharat Rao, Jaime G. Carbonell
    Federated Ontology Search for the Medical Domain. [Citation Graph (0, 0)][DBLP]
    OTM Workshops (1), 2007, pp:554-565 [Conf]

  89. RADAR: A Personal Assistant that Learns to Reduce Email Overload. [Citation Graph (, )][DBLP]


  90. Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. [Citation Graph (, )][DBLP]


  91. Bayesian Active Learning Using Arbitrary Binary Valued Queries. [Citation Graph (, )][DBLP]


  92. Genre identification and goal-focused summarization. [Citation Graph (, )][DBLP]


  93. Proactive learning: cost-sensitive active learning with multiple imperfect oracles. [Citation Graph (, )][DBLP]


  94. Corpus microsurgery: criteria optimization for medical cross-language ir. [Citation Graph (, )][DBLP]


  95. Suppressing outliers in pairwise preference ranking. [Citation Graph (, )][DBLP]


  96. ParaMor: Finding Paradigms across Morphology. [Citation Graph (, )][DBLP]


  97. ParaMor and Morpho Challenge 2008. [Citation Graph (, )][DBLP]


  98. Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. [Citation Graph (, )][DBLP]


  99. Accelerated Gradient Method for Multi-task Sparse Learning Problem. [Citation Graph (, )][DBLP]


  100. Optimizing estimated loss reduction for active sampling in rank learning. [Citation Graph (, )][DBLP]


  101. Predicate Indexing for Incremental Multi-Query Optimization. [Citation Graph (, )][DBLP]


  102. Efficiently learning the accuracy of labeling sources for selective sampling. [Citation Graph (, )][DBLP]


  103. Combining Probability-Based Rankers for Action-Item Detection. [Citation Graph (, )][DBLP]


  104. Nearest-Neighbor-Based Active Learning for Rare Category Detection. [Citation Graph (, )][DBLP]


  105. Prior-Free Rare Category Detection. [Citation Graph (, )][DBLP]


  106. A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. [Citation Graph (, )][DBLP]


  107. Co-selection of Features and Instances for Unsupervised Rare Category Analysis. [Citation Graph (, )][DBLP]


  108. Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. [Citation Graph (, )][DBLP]


  109. The impact of history length on personalized search. [Citation Graph (, )][DBLP]


  110. Retrieval and feedback models for blog feed search. [Citation Graph (, )][DBLP]


  111. It pays to be picky: an evaluation of thread retrieval in online forums. [Citation Graph (, )][DBLP]


  112. Creating and visualizing fuzzy document classification. [Citation Graph (, )][DBLP]


  113. Analysis of uncertain data: Smoothing of histograms. [Citation Graph (, )][DBLP]


  114. Analysis of uncertain data: Selection of probes for information gathering. [Citation Graph (, )][DBLP]


  115. Scheduling with uncertain resources: Representation of common knowledge. [Citation Graph (, )][DBLP]


  116. Analysis of uncertain data: Evaluation of given hypotheses. [Citation Graph (, )][DBLP]


  117. Document and Query Expansion Models for Blog Distillation. [Citation Graph (, )][DBLP]


  118. Retrieval and Feedback Models for Blog Distillation. [Citation Graph (, )][DBLP]


  119. Stuctured Queries for Legal Search. [Citation Graph (, )][DBLP]


  120. Fast learning of document ranking functions with the committee perceptron. [Citation Graph (, )][DBLP]


  121. Instance-Based Question Answering: A Data-Driven Approach. [Citation Graph (, )][DBLP]


  122. Active Learning and Crowd-Sourcing for Machine Translation. [Citation Graph (, )][DBLP]


  123. Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. [Citation Graph (, )][DBLP]


  124. Document Representation and Query Expansion Models for Blog Recommendation. [Citation Graph (, )][DBLP]


  125. Active machine learning for transmembrane helix prediction. [Citation Graph (, )][DBLP]


  126. Active learning for human protein-protein interaction prediction. [Citation Graph (, )][DBLP]


  127. Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso [Citation Graph (, )][DBLP]


  128. An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity [Citation Graph (, )][DBLP]


  129. Studies on Relevance, Ranking and Results Display [Citation Graph (, )][DBLP]


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