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EACL
2006
ACL Anthology
13 years 9 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
ESANN
2006
13 years 9 months ago
Construction of a memory management system in an on-line learning mechanism
This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
Francisco Bellas, José Antonio Becerra, Ric...
IRMA
2000
13 years 9 months ago
Recognizing bounds of context change in on-line learning
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...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 7 months ago
Online Learning: Beyond Regret
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
AROBOTS
2002
91views more  AROBOTS 2002»
13 years 7 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro