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» Methods for boosting recommender systems
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ICAI
2008
13 years 9 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
MEDINFO
2007
115views Healthcare» more  MEDINFO 2007»
13 years 9 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
14 years 19 days 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»
13 years 9 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
IIHMSP
2006
IEEE
136views Multimedia» more  IIHMSP 2006»
14 years 1 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