2027 search results - page 85 / 406 » Learning and Generalization with the Information Bottleneck |
ATAL
2008
Springer
14 years 12 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
TIP
2008
14 years 9 months ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
GECCO
2009
Springer
15 years 2 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
IJCAI
2007
14 years 11 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...