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» Network Structuring and Training Using Rule-Based Knowledge
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UAI
1996
14 years 11 months ago
Context-Specific Independence in Bayesian Networks
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Craig Boutilier, Nir Friedman, Moisés Golds...
LAWEB
2005
IEEE
15 years 3 months ago
Using the MetroWeb Tool to Improve Usability Quality of Web Sites
This work addresses the question of supporting web designers in considering usability in their work in order to foster user-centered design of web sites. With the MetroWeb tool th...
Céline Mariage, Jean Vanderdonckt, Aline Ch...
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 1 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
ACSC
2005
IEEE
15 years 3 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka