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ESWA
2008
128views more  ESWA 2008»
15 years 4 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
KDD
2009
ACM
223views Data Mining» more  KDD 2009»
16 years 5 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
ICPR
2008
IEEE
16 years 5 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
153
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ICML
2006
IEEE
16 years 5 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
CORR
2007
Springer
154views Education» more  CORR 2007»
15 years 4 months ago
Distributed Arithmetic Coding for the Asymmetric Slepian-Wolf problem
Distributed source coding schemes are typically based on the use of channels codes as source codes. In this paper we propose a new paradigm, termed “distributed arithmetic codin...
Marco Grangetto, Enrico Magli, Gabriella Olmo