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CORR
2010
Springer
138views Education» more  CORR 2010»
14 years 10 months ago
Rules of Thumb for Information Acquisition from Large and Redundant Data
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
Wolfgang Gatterbauer
ICML
2008
IEEE
16 years 2 months ago
Confidence-weighted linear classification
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
Mark Dredze, Koby Crammer, Fernando Pereira
ICML
2006
IEEE
16 years 2 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
IDEAL
2009
Springer
15 years 8 months ago
Clustering with XCS and Agglomerative Rule Merging
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
Liangdong Shi, Yinghuan Shi, Yang Gao
102
Voted
IJAR
2008
119views more  IJAR 2008»
15 years 1 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen