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» Methods for boosting recommender systems
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ICAI
2008
14 years 11 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang
75
Voted
MEDINFO
2007
115views Healthcare» more  MEDINFO 2007»
14 years 11 months ago
Statistical Selector of the Best Multiple ICD-coding Method
The International Classification of Diseases 10th version (ICD-10) is one of the most standard and important disease classifications. Since computerized ICD-10 coding systems have...
Eiji Aramaki, Takeshi Imai, Masayuki Kajino, Kengo...
ICPPW
2002
IEEE
15 years 2 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
14 years 11 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
118
Voted
IIHMSP
2006
IEEE
136views Multimedia» more  IIHMSP 2006»
15 years 3 months ago
Boosted String Representation and Its Application to Video Surveillance
This paper presents a new behavior classification system for analyzing human movements directly from video sequences. First of all, we propose a triangulation-based method to tran...
Yung-Tai Hsu, Jun-Wei Hsieh