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WWW
2003
ACM
16 years 5 months ago
Parse & Dispatch: Parallelizing the Generation
The use of dynamically generated Web content is gaining in popularity over traditional static HTML content. Dynamic Web content is generated on the fly according to the instructio...
Stavros Papastavrou, George Samaras, Paraskevas Ev...
ICPR
2006
IEEE
16 years 6 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
FSKD
2005
Springer
90views Fuzzy Logic» more  FSKD 2005»
15 years 10 months ago
Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
119
Voted
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 10 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 11 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...