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PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
AAAI
2007
15 years 6 months ago
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces
In recent years, there has been substantial research on exploring how AI can contribute to Human-Computer Interaction by enabling an interface to understand a user’s needs and a...
Cristina Conati, Christina Merten, Saleema Amershi...
BCEC
1997
15 years 5 months ago
Adaptive Task Allocation Inspired by a Model of Division of Labor in Social Insects
Social insects provide us with a powerful metaphor to create decentralized systems of simple interacting, and often mobile, agents. The emergent collective intelligence of social i...
Eric Bonabeau, Andrej Sobkowski, Guy Theraulaz, Je...
TMI
2010
175views more  TMI 2010»
14 years 11 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
EACL
2006
ACL Anthology
15 years 5 months ago
Adaptivity in Question Answering with User Modelling and a Dialogue Interface
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
Silvia Quarteroni, Suresh Manandhar