Sciweavers

1315 search results - page 89 / 263
» Discovering Classification from Data of Multiple Sources
Sort
View
109
Voted
ISNN
2007
Springer
15 years 7 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
CHI
2008
ACM
15 years 3 months ago
Eye-mouse coordination patterns on web search results pages
We analyzed the patterns of coordination between users' eye movements and mouse movements when scanning a web search results page, using data gathered from a study with 32 pa...
Kerry Rodden, Xin Fu, Anne Aula, Ian Spiro
FLAIRS
2003
15 years 3 months ago
Algorithms for Large Scale Markov Blanket Discovery
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
ACL
2012
13 years 4 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
IJISTA
2008
95views more  IJISTA 2008»
15 years 1 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach