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» A statistical model of skewed-associativity
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AAAI
1996
15 years 8 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
WSC
1994
15 years 8 months ago
Consistency of overlapping batch variances
Overlapping batch statistics estimate the variance of point estimators using overlapping batches (Schmeiser, Avramidis and Hashem 1990). In this paper we study sufficient conditio...
Demet C. Wood, Bruce W. Schmeiser
COMCOM
2002
189views more  COMCOM 2002»
15 years 6 months ago
Intrusion detection techniques and approaches
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...
Theuns Verwoerd, Ray Hunt
NPL
2000
95views more  NPL 2000»
15 years 6 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
PAMI
2002
78views more  PAMI 2002»
15 years 6 months ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...