249 search results - page 26 / 50 » Semi-Supervised Multitask Learning |
ICMLA
2010
13 years 5 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
NIPS
2004
13 years 9 months ago
2004
This paper provides a foundation for multi
ECAL
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
ICML
2000
IEEE
14 years 2 days ago
2000
IEEE
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...