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CIMCA
2005
IEEE
15 years 10 months ago
Opposition-Based Learning: A New Scheme for Machine Intelligence
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
Hamid R. Tizhoosh
ETS
2002
IEEE
132views Hardware» more  ETS 2002»
15 years 4 months ago
Theories for Deep Change in Affect-sensitive Cognitive Machines: A Constructivist Model
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...
Barry Kort, Rob Reilly
ICALT
2009
IEEE
15 years 8 months ago
Automated Planning for Personalised Course Composition
Authoring tools for building Intelligent Educational Systems must provide support to ensure flexibility, adaptability of content to the user profile, reusability and sharing of le...
Antonio Garrido, Eva Onaindia, Oscar Sapena
ICML
2007
IEEE
16 years 5 months ago
Intractability and clustering with constraints
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
Ian Davidson, S. S. Ravi
IUI
2000
ACM
15 years 9 months ago
A learning agent for wireless news access
We describe a user interface for wireless information devices, specifically designed to facilitate learning about users’ individual interests in daily news stories. User feedbac...
Daniel Billsus, Michael J. Pazzani, James Chen