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» A Boosting Algorithm for Regression
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118
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CP
2007
Springer
15 years 10 months ago
Solution Counting Algorithms for Constraint-Centered Search Heuristics
Constraints have played a central role in cp because they capture key substructures of a problem and efficiently exploit them to boost inference. This paper intends to do the same ...
Alessandro Zanarini, Gilles Pesant
WEBI
2005
Springer
15 years 9 months ago
Network-Based Intrusion Detection Using Adaboost Algorithm
Intrusion detection on the internet is a heated research field in computer science, where much work has been done during the past two decades. In this paper, we build a network-b...
Wei Hu, Weiming Hu
126
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KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 4 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
IGARSS
2009
15 years 1 months ago
Unmixing Sparse Hyperspectral Mixtures
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
Marian-Daniel Iordache, José M. Bioucas-Dia...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 4 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins