2027 search results - page 104 / 406 » Learning and Generalization with the Information Bottleneck |
TCC
2010
Springer
15 years 6 months ago
2010
Springer
Learning is a task that generalizes many of the analyses that are applied to collections of data, and in particular, collections of sensitive individual information. Hence, it is n...
ICIP
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
ECIR
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
ISIPTA
2005
IEEE
15 years 3 months ago
2005
IEEE
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...