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ITS
2000
Springer
128views Multimedia» more  ITS 2000»
15 years 1 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
ICIA
2007
15 years 4 days ago
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In our earlier wor...
Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli...
NIPS
2004
14 years 11 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
ESWA
2008
169views more  ESWA 2008»
14 years 9 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 4 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana