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UAI
2004
15 years 8 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
AAMAS
2010
Springer
15 years 6 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 6 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
COGSCI
2010
125views more  COGSCI 2010»
15 years 6 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
AIED
2009
Springer
15 years 4 months ago
Investigating the Effects of Social Goals in a Negotiation Game with Virtual Humans
Educational games may be particularly suited to teaching social learning skills with virtual humans. We investigate the importance of social goals and engaging social interactions ...
Amy Ogan, Vincent Aleven, Christopher Jones