744 search results - page 36 / 149 » Information-theoretic metric learning |
COGSCI
2002
13 years 9 months ago
2002
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
IEAAIE
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...
SCIA
2005
Springer
14 years 3 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
UAI
2004
13 years 11 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...