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IJMMS
2006
83views more  IJMMS 2006»
15 years 6 months ago
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Based on the expectancy disconfirmation theory, this study proposes a decomposed technology acceptance model in the context of an e-learning service. In the proposed model, the pe...
Juan Carlos Roca, Chao-Min Chiu, Francisco Jos&eac...
JCM
2008
81views more  JCM 2008»
15 years 6 months ago
An Iterative Algorithm for Joint Symbol Timing Recovery and Equalization of Short Bursts
In this work a joint clock recovery (CR) and equalization scheme for short burst transmissions is presented. The joint optimization performance may be pursued by means of both data...
Pietro Savazzi, Paolo Gamba, Lorenzo Favalli
CSDA
2007
108views more  CSDA 2007»
15 years 6 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
JMLR
2008
83views more  JMLR 2008»
15 years 6 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby
JMLR
2008
79views more  JMLR 2008»
15 years 6 months ago
Manifold Learning: The Price of Normalization
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...