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Jaime G. Carbonell :
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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 ] 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 ] 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 ] 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 ] Jaime G. Carbonell DELTA-MIN: A Search-Control Method for Information-Gathering Problems. [Citation Graph (0, 0)][DBLP ] AAAI, 1980, pp:124-127 [Conf ] Jaime G. Carbonell Experiential Learning in Analogical Problem Solving. [Citation Graph (0, 0)][DBLP ] AAAI, 1982, pp:168-171 [Conf ] Jaime G. Carbonell Derivational Analogy and Its Role in Problem Solving. [Citation Graph (0, 0)][DBLP ] AAAI, 1983, pp:64-69 [Conf ] 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 ] 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 ] Jaime G. Carbonell Metapher - A Key to Extensible Semantic Analysis. [Citation Graph (0, 0)][DBLP ] ACL, 1980, pp:- [Conf ] Jaime G. Carbonell Towards a Self-Extending Parser. [Citation Graph (0, 0)][DBLP ] ACL, 1979, pp:- [Conf ] M. Alicia Pérez , Jaime G. Carbonell Control Knowledge to Improve Plan Quality. [Citation Graph (0, 0)][DBLP ] AIPS, 1994, pp:323-328 [Conf ] 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 ] 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 ] 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 ] Jaime G. Carbonell Grand challenges for information management. [Citation Graph (0, 0)][DBLP ] CIKM, 2003, pp:1- [Conf ] 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 ] 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 ] 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 ] 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 ] Jaime G. Carbonell Is There Natural Language after Data Bases? [Citation Graph (0, 0)][DBLP ] COLING, 1984, pp:186-187 [Conf ] Jaime G. Carbonell , Ralf D. Brown Anaphora resolution: a multy-strategy approach. [Citation Graph (0, 0)][DBLP ] COLING, 1988, pp:96-101 [Conf ] Jaime G. Carbonell , Philip J. Hayes Coping with Extragrammaticality. [Citation Graph (0, 0)][DBLP ] COLING, 1984, pp:437-443 [Conf ] 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 ] 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 ] Masaru Tomita , Jaime G. Carbonell Another Stride Towards Knowledge-Based Machine Translation. [Citation Graph (0, 0)][DBLP ] COLING, 1986, pp:633-638 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Jaime G. Carbonell A Computational Model of Analogical Problem Solving. [Citation Graph (0, 0)][DBLP ] IJCAI, 1981, pp:147-152 [Conf ] Jaime G. Carbonell A Computational Model of Analogical Problem Solving. [Citation Graph (0, 0)][DBLP ] IJCAI, 1981, pp:147-152 [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Lucian Vlad Lita , Jaime G. Carbonell Cluster-Based Selection of Statistical Answering Strategies. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:1653-1658 [Conf ] 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 ] 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 ] Chun Jin , Jaime G. Carbonell Incremental Aggregation on Multiple Continuous Queries. [Citation Graph (0, 0)][DBLP ] ISMIS, 2006, pp:167-177 [Conf ] 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 ] Yiming Yang , Jian Zhang , Jaime G. Carbonell , Chun Jin Topic-conditioned novelty detection. [Citation Graph (0, 0)][DBLP ] KDD, 2002, pp:688-693 [Conf ] Jaime G. Carbonell Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). [Citation Graph (0, 0)][DBLP ] KR, 1994, pp:633- [Conf ] 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 ] Jaime G. Carbonell Session 3: Machine Translation. [Citation Graph (0, 0)][DBLP ] HLT, 1991, pp:- [Conf ] 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 ] Paul N. Bennett , Jaime G. Carbonell Detecting action-items in e-mail. [Citation Graph (0, 0)][DBLP ] SIGIR, 2005, pp:585-586 [Conf ] Jaime G. Carbonell Lessons from TIPSTER/SHOGUN/JANUS. [Citation Graph (0, 0)][DBLP ] SIGIR, 1993, pp:225- [Conf ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Jaime G. Carbonell Editorial. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1989, v:4, n:, pp:5-6 [Journal ] Jaime G. Carbonell Editorial. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1989, v:4, n:, pp:113-115 [Journal ] Jaime G. Carbonell Editorial. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1991, v:6, n:, pp:5- [Journal ] Jaime G. Carbonell Editorial. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1991, v:7, n:, pp:5- [Journal ] Jaime G. Carbonell Machine Learning: A Maturing Field. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1992, v:9, n:, pp:5-7 [Journal ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Meryem Pinar Dönmez , Jaime G. Carbonell , Paul N. Bennett Dual Strategy Active Learning. [Citation Graph (0, 0)][DBLP ] ECML, 2007, pp:116-127 [Conf ] 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 ] RADAR: A Personal Assistant that Learns to Reduce Email Overload. [Citation Graph (, )][DBLP ] Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. [Citation Graph (, )][DBLP ] Bayesian Active Learning Using Arbitrary Binary Valued Queries. [Citation Graph (, )][DBLP ] Genre identification and goal-focused summarization. [Citation Graph (, )][DBLP ] Proactive learning: cost-sensitive active learning with multiple imperfect oracles. [Citation Graph (, )][DBLP ] Corpus microsurgery: criteria optimization for medical cross-language ir. [Citation Graph (, )][DBLP ] Suppressing outliers in pairwise preference ranking. [Citation Graph (, )][DBLP ] ParaMor: Finding Paradigms across Morphology. [Citation Graph (, )][DBLP ] ParaMor and Morpho Challenge 2008. [Citation Graph (, )][DBLP ] Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. [Citation Graph (, )][DBLP ] Accelerated Gradient Method for Multi-task Sparse Learning Problem. [Citation Graph (, )][DBLP ] Optimizing estimated loss reduction for active sampling in rank learning. [Citation Graph (, )][DBLP ] Predicate Indexing for Incremental Multi-Query Optimization. [Citation Graph (, )][DBLP ] Efficiently learning the accuracy of labeling sources for selective sampling. [Citation Graph (, )][DBLP ] Combining Probability-Based Rankers for Action-Item Detection. [Citation Graph (, )][DBLP ] Nearest-Neighbor-Based Active Learning for Rare Category Detection. [Citation Graph (, )][DBLP ] Prior-Free Rare Category Detection. [Citation Graph (, )][DBLP ] A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. [Citation Graph (, )][DBLP ] Co-selection of Features and Instances for Unsupervised Rare Category Analysis. [Citation Graph (, )][DBLP ] Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. [Citation Graph (, )][DBLP ] The impact of history length on personalized search. [Citation Graph (, )][DBLP ] Retrieval and feedback models for blog feed search. [Citation Graph (, )][DBLP ] It pays to be picky: an evaluation of thread retrieval in online forums. [Citation Graph (, )][DBLP ] Creating and visualizing fuzzy document classification. [Citation Graph (, )][DBLP ] Analysis of uncertain data: Smoothing of histograms. [Citation Graph (, )][DBLP ] Analysis of uncertain data: Selection of probes for information gathering. [Citation Graph (, )][DBLP ] Scheduling with uncertain resources: Representation of common knowledge. [Citation Graph (, )][DBLP ] Analysis of uncertain data: Evaluation of given hypotheses. [Citation Graph (, )][DBLP ] Document and Query Expansion Models for Blog Distillation. [Citation Graph (, )][DBLP ] Retrieval and Feedback Models for Blog Distillation. [Citation Graph (, )][DBLP ] Stuctured Queries for Legal Search. [Citation Graph (, )][DBLP ] Fast learning of document ranking functions with the committee perceptron. [Citation Graph (, )][DBLP ] Instance-Based Question Answering: A Data-Driven Approach. [Citation Graph (, )][DBLP ] Active Learning and Crowd-Sourcing for Machine Translation. [Citation Graph (, )][DBLP ] Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. [Citation Graph (, )][DBLP ] Document Representation and Query Expansion Models for Blog Recommendation. [Citation Graph (, )][DBLP ] Active machine learning for transmembrane helix prediction. [Citation Graph (, )][DBLP ] Active learning for human protein-protein interaction prediction. [Citation Graph (, )][DBLP ] Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso [Citation Graph (, )][DBLP ] An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity [Citation Graph (, )][DBLP ] Studies on Relevance, Ranking and Results Display [Citation Graph (, )][DBLP ] Search in 0.009secs, Finished in 0.019secs