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» Patterns for decoupling data structures and algorithms
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JMLR
2008
94views more  JMLR 2008»
13 years 7 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
14 years 28 days ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa
ICANN
2011
Springer
12 years 11 months ago
Automatic Seizure Detection Incorporating Structural Information
Abstract. Traditional seizure detection algorithms act on single channels ignoring the synchronously recorded, inherently interdependent multichannel nature of EEG. However, the sp...
Borbala Hunyadi, Maarten De Vos, Marco Signoretto,...
STACS
1992
Springer
13 years 11 months ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...
ACCV
2010
Springer
13 years 2 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu