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129
Voted
IJMMS
2008
15 years 2 months ago
2008
Although existing models of e-learning effectiveness in information systems (IS) have increased our understanding of how technology can support and enhance learning, most of our m...
115
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
123
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
119
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
116
Voted
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results i...