Jaime+Carbonell

an American computer scientist and AI researcher with focus on machine learning and [|machine translation]. He holds a Ph.D. in computer science, 1979 from [|Yale University] and is Allen Newell professor at Carnegie Mellon University, co-founder and chairman, of //Carnegie Speech Incorporated// and //Wisdom Technologies Corporation//. He invented multiple well-known algorithms and methods, including: [|proactive] machine learning for multi-oracle cost-sensitive [|active learning], linked [|conditional random fields] for predicting tertiary and quaternary [|protein folds], [|maximal marginal relevance] for information novelty, retrieval and summarization, topic-conditioned modeling for [|novelty detection], symmetric optimal [|phrasal] alignment method for trainable example-based and statistical machine translation, series-anomaly modeling for [|financial fraud detection] and [|syndromic surveillance], knowledge-based [|interlingual machine translation], transformational analogy for [|case-based reasoning], [|derivational] analogy for reconstructive [|justification-based] reasoning, robust case-frame parsing, seeded [|version-space learning] (with polynomial complexity, vs Mitchell’s original version space learning that exhibits exponential complexity), and developed improvements to several other machine learning algorithms. Current research foci include robust statistical learning and language models for mapping [|protein sequences] to 3D structure and inferring functional properties, automated transfer-rule learning for machine translation, active and proactive machine learning, and context-based machine translation. || toc =Selected Publications= > Jaime Carbonell, Ryszard Michalski, Tom Mitchell (**1983**). //An Overview of Machine Learning//. > Jaime Carbonell (**1983**). //Learning by Analogy: Formulating and Generalizing Plans from Past Experience//. >
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 * [[image:jaimepic.jpg link="http://www.cs.cmu.edu/~jgc/"]] ||~ || **Jaime Guillermo Carbonell**,
 * Jaime Carbonell ||~ ||^ ||
 * Jaime Carbonell (**1979**). //Subjective Understanding: Computer Models of Belief Systems//. PhD dissertation, [|Yale University]
 * Jaime Carbonell (**1980**). //Learning and Problem Solving by Analogy//. Preprints of the CMU Machine Learning Workshop-Symposium
 * Jaime Carbonell (**1981**). //Counterplanning: A Strategy-Based Model of Adversary Planning in Real-World Situations//. Artificial Intelligence, Vol. 16
 * Jaime Carbonell (**1982**). //Learning by Analogy//. Tech. report, Carnegie-Mellon University
 * Jaime Carbonell (**1982**). //Natural Language Interfaces to Software Systems//. Proceedings of the 1982 Office Automation Conference, San Francisco, CA
 * Ryszard Michalski, Jaime Carbonell, Tom Mitchell (**1983**). //Machine Learning: An Artificial Intelligence Approach//. Tioga Publishing Company, ISBN 0-935382-05-4. [|google books]
 * Ryszard Michalski, Jaime Carbonell, Tom Mitchell (**1985**). //Machine Learning: An Artificial Intelligence Approach//. Morgan Kaufmann, ISBN 0-934613-09-5. [|google books]
 * Ryszard Michalski, Jaime Carbonell, Tom Mitchell (**1986**). //Machine Learning: An Artificial Intelligence Approach, Volume II//. Morgan Kaufmann, ISBN 0-934613-00-1. [|google books]
 * Tom Mitchell, Jaime Carbonell, Ryszard Michalski (**1986**). //[|Machine Learning: A Guide to Current Research]//. The Kluwer International Series in Engineering and Computer Science, Vol. 12

=External Links=
 * [|Jaime Carbonell's Web Page]
 * [|The Mathematics Genealogy Project - Jaime Carbonell]

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