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» Learning about and through Empirical Modelling
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HRI
2010
ACM
14 years 1 months ago
Transparent active learning for robots
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
Crystal Chao, Maya Cakmak, Andrea Lockerd Thomaz
ETS
2002
IEEE
150views Hardware» more  ETS 2002»
13 years 8 months ago
Assessing group learning and shared understanding in technology-mediated interaction
Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
Ingrid Mulder, Janine Swaak, Joseph Kessels
ICML
2004
IEEE
14 years 9 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
ICASSP
2011
IEEE
13 years 5 days ago
Collaborative system for signal processing education
In this paper we present a collaborative system designed to develop problem solving skills in learners through problemcentric exercises. This system is part of a data collection s...
Gregory A. Krudysz, James H. McClellan
ICML
2005
IEEE
14 years 9 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...