Theses most similar to Learnability, representation, and language : a Bayesian approach (Perfors, Amy (Amy Francesca); 2008) read it

Learning commonsense categorical knowledge in a thread memory system

Stamatoiu, Oana L. (Oana Liana), 1981- (2004)

  • Advisor: Winston, Patrick Henry
  • Department of Electrical Engineering and Computer Science
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The informational complexity of learning from examples

Niyogi, Partha (1995)

  • Advisor: Tomaso Poggio
  • Department of Electrical Engineering and Computer Science
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Doing time : inducing temporal graphs

Bramsen, Philip James (2006)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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The acquisition of inductive constraints

Kemp, Charles (2008)

  • Advisor: Joshua Tenenbaum
  • Department of Brain and Cognitive Sciences
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Grounding language in events

Fleischman, Michael Ben (2008)

  • Advisor: Deb Roy
  • Department of Electrical Engineering and Computer Science
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Meaning and compositionality as statistical induction of categories and constraints

Schmidt, Lauren A (2009)

  • Advisor: Joshua Tenenbaum
  • Department of Brain and Cognitive Sciences
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An expectation model of referring expressions

Kræmer, Joh (2010)

  • Advisor: Edward Gibson
  • Department of Brain and Cognitive Sciences
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Early word learning through communicative inference

Frank, Michael C. (2010)

  • Advisor: Edward Gibson
  • Department of Brain and Cognitive Sciences
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Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn

Lake, Brenden M (2014)

  • Advisor: Joshua B. Tenenbaum
  • Department of Brain and Cognitive Sciences
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Modeling cognition with probabilistic programs : representations and algorithms

Stuhlmüller, Andreas (2015)

  • Advisors: Joshua B. Tenenbaum; Noah D. Goodma
  • Department of Brain and Cognitive Sciences
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