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145
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TNN
1998
146views more  TNN 1998»
15 years 4 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
IJCAI
2003
15 years 6 months ago
Deploying Information Agents on the Web
The information resources on the Web are vast, but much of the Web is based on a browsing paradigm that requires someone to actively seek information. Instead, one would like to h...
Craig A. Knoblock
178
Voted
AAAI
2011
14 years 4 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
112
Voted
ICPR
2004
IEEE
16 years 5 months ago
A System to Detect Houses and Residential Street Networks in Multispectral Satellite Images
ACT Maps are vital tools for most government agencies and consumers. However, their manual generation and updating is tedious and time consuming. As a step toward automatic map gen...
Cem Ünsalan, Kim L. Boyer