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» Online Learning of Approximate Dependency Parsing Algorithms
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SODA
2001
ACM
166views Algorithms» more  SODA 2001»
13 years 9 months ago
Better approximation algorithms for bin covering
Bin covering takes as input a list of items with sizes in (0 1) and places them into bins of unit demand so as to maximize the number of bins whose demand is satis ed. This is in ...
János Csirik, David S. Johnson, Claire Keny...
COLT
2003
Springer
14 years 26 days ago
On-Line Learning with Imperfect Monitoring
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...
Shie Mannor, Nahum Shimkin
JMLR
2010
101views more  JMLR 2010»
13 years 2 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
RSA
2002
73views more  RSA 2002»
13 years 7 months ago
New and faster filters for multiple approximate string matching
We present three new algorithms for on-line multiple string matching allowing errors. These are extensions of previous algorithms that search for a single pattern. The average run...
Ricardo A. Baeza-Yates, Gonzalo Navarro
ILP
2005
Springer
14 years 1 months ago
Online Closure-Based Learning of Relational Theories
Online learning algorithms such as Winnow have received much attention in Machine Learning. Their performance degrades only logarithmically with the input dimension, making them us...
Frédéric Koriche