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» Estimation of Chaotic Probabilities
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COLT
2006
Springer
14 years 2 months ago
Discriminative Learning Can Succeed Where Generative Learning Fails
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
Philip M. Long, Rocco A. Servedio
AUSAI
2003
Springer
14 years 2 months ago
On Why Discretization Works for Naive-Bayes Classifiers
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
Ying Yang, Geoffrey I. Webb
ACNS
2010
Springer
145views Cryptology» more  ACNS 2010»
14 years 1 months ago
A Hybrid Method to Detect Deflation Fraud in Cost-Per-Action Online Advertising
Abstract. Web advertisers prefer the cost-per-action (CPA) advertisement model whereby an advertiser pays a web publisher according to the actual amount of transactions, rather tha...
Xuhua Ding
BIRD
2008
Springer
159views Bioinformatics» more  BIRD 2008»
14 years 11 days ago
Exploration of Evolutionary Relations between Protein Structures
Abstract. We describe a new method for the exploration of evolutionary relations between protein structures. The approach is based on the ESSM algorithm for detecting structural mu...
Natalja Kurbatova, Juris Viksna
BCS
2008
13 years 11 months ago
Distributed Defence Against Denial of Service Attacks: A Practical View
In recent years, Denial of Service attacks have evolved into a predominant network security threat. In our previous work, we identified the necessary building blocks for an effect...
Gülay Öke, Georgios Loukas