Jaime Carbonell - Tech Learning

Jaime Carbonell

  Jaime Carbonell’s research areas include artificial intelligence and language technologies, such as machine translation, machine learning, and computational biology, and usually combine theory, experimentation, and system building.
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 Jaime Carbonell’s research areas include artificial intelligence and language technologies, such as machine translation, machine learning, and computational biology, and usually combine theory, experimentation, and system building. He directs the Language Technologies Institute and is the Allen Newell Professor of Computer Science at Carnegie Mellon University. Active learning, another of Carbonell’s research areas, seeks to identify the fewest possible labeled training instances necessary to grasp a concept. According to his Web site, he is particularly interested in ensemble-based active learning, in active learning for highly skewed class distributions, and in differential labeling cost models.

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