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» Learning Causal Models of Relational Domains
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112
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ALT
2009
Springer
15 years 7 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
132
Voted
ETRA
2004
ACM
124views Biometrics» more  ETRA 2004»
15 years 9 months ago
Mental imagery in problem solving: an eye tracking study
Cognitive models and empirical studies of problem solving in visuo-spatial and causal domains suggest that problem solving tasks in such domains invoke cognitive processes involvi...
Daesub Yoon, N. Hari Narayanan
156
Voted
AH
2008
Springer
15 years 10 months ago
A Validation Framework for Formal Models in Adaptive Work-Integrated Learning
The focus of my thesis is on the development of a multi-method framework for the validation of formal models (domain model, user model, and teaching model) for adaptive work-integr...
Barbara Kump
145
Voted
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 4 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
150
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COGSR
2011
109views more  COGSR 2011»
14 years 10 months ago
How groups develop a specialized domain vocabulary: A cognitive multi-agent model
We simulate the evolution of a domain vocabulary in small communities. Empirical data show that human communicators can evolve graphical languages quickly in a constrained task (P...
David Reitter, Christian Lebiere