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COGSCI
2011
85views more  COGSCI 2011»
15 years 1 months ago
Adaptation to Novel Accents: Feature-Based Learning of Context-Sensitive Phonological Regularities
This paper examines whether adults can adapt to novel accents of their native language that contain unfamiliar context-dependent phonological alternations. In two experiments, Fre...
Katrin Skoruppa, Sharon Peperkamp
COGSR
2011
105views more  COGSR 2011»
15 years 1 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
JMLR
2010
143views more  JMLR 2010»
15 years 1 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
JMLR
2010
202views more  JMLR 2010»
15 years 1 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
IUI
2011
ACM
14 years 9 months ago
TellMe: learning procedures from tutorial instruction
This paper describes an approach to allow end users to define new procedures through tutorial instruction. Our approach allows users to specify procedures in natural language in t...
Yolanda Gil, Varun Ratnakar, Christian Fritz