70 search results - page 5 / 14 » Transfer Learning and Intelligence: an Argument and Approach |
AAAI
2007
13 years 10 months ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
ICONIP
1998
13 years 9 months ago
1998
Learning transfer is the improvement in performance on one task having learnt a related task. That the degree of transfer is signi cantly greater in humans than other primates and...
GECCO
2010
Springer
14 years 12 days ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
AAAI
2012
11 years 10 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
AAAI
2008
13 years 10 months ago
2008
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...