19 search results - page 1 / 4 » Recognizing bounds of context change in on-line learning |
IRMA
2000
14 years 15 days ago
2000
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
NIPS
2001
14 years 16 days ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
ACL
2010
13 years 9 months ago
2010
This is a system demo for a set of tools for translating texts between multiple languages in real time with high quality. The translation works on restricted languages, and is bas...
EUROCOLT
1999
Springer
14 years 3 months ago
1999
Springer
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
IJCAI
2007
14 years 18 days ago
2007
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...