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CCR
2008
85views more  CCR 2008»
13 years 9 months ago
On cycles in AS relationships
y be more complex than the course modeling abstraction we adopted in [2]. Real AS relationships may depend on a peering point, prefix, and even time [2]. For example, ISPs that dom...
Xenofontas A. Dimitropoulos, M. Ángeles Ser...
NECO
2011
13 years 5 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
12 years 13 days ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
ICPR
2002
IEEE
14 years 11 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
IJCNN
2006
IEEE
14 years 4 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma