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ECML
2005
Springer
15 years 3 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
ICIS
2004
14 years 11 months ago
A Factor and Structural Equation Analysis of the Enterprise Systems Success Measurement Model
Enterprise systems entail complex organizational interventions. Accurately gauging the impact of any complex information system requires understanding its multidimensionality, and...
Darshana Sedera, Guy G. Gable
JMLR
2012
13 years 6 days ago
Sample Complexity of Composite Likelihood
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
Joseph K. Bradley, Carlos Guestrin
AVI
2010
14 years 11 months ago
About composing our own smart home
This paper reports on an empirical study designed as a follow-up of a theoretical model intended to support reasoning about the composition of smart artifacts by end-users. We hav...
Joëlle Coutaz, Emeric Fontaine, Nadine Mandra...
NIPS
2008
14 years 11 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski