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» A Model of Learning Using the Internet
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AAAI
2011
14 years 6 months ago
Using Semantic Cues to Learn Syntax
We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide u...
Tahira Naseem, Regina Barzilay
HRI
2006
ACM
16 years 16 days ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
WORM
2004
15 years 8 months ago
Preliminary results using scale-down to explore worm dynamics
A major challenge when attempting to analyze and model large-scale Internet phenomena such as the dynamics of global worm propagation is finding ate abstractions that allow us to ...
Nicholas Weaver, Ihab Hamadeh, George Kesidis, Ver...
ICASSP
2010
IEEE
15 years 6 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
NECO
2007
127views more  NECO 2007»
15 years 6 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado