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KDD
2008
ACM
239views Data Mining» more  KDD 2008»
14 years 8 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
PREMI
2007
Springer
14 years 2 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 10 days ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
IS
2006
13 years 8 months ago
Adaptive cycle management in soft real-time disk retrieval
The objective of this study is to determine the right cycle management policy to service periodic soft real-time disk retrieval. Cycle based disk scheduling provides an effective ...
Youjip Won, Ilhoon Shin, Kern Koh
ICPR
2006
IEEE
14 years 2 months ago
An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
Jianzhao Qin, Yuanqing Li