IDA
2005
Springer
13 years 10 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We investigate an application of Probabilistic Latent Semantics to the problem of device usage analysis in an infrastructure in which multiple users have access to a shar...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...