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» On the false-positive rate of Bloom filters
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CIARP
2009
Springer
13 years 11 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
WWW
2008
ACM
14 years 8 months ago
Efficient multi-keyword search over p2p web
Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and use...
Hanhua Chen, Hai Jin, Jiliang Wang, Lei Chen 0002,...
FCCM
2004
IEEE
163views VLSI» more  FCCM 2004»
13 years 11 months ago
Implementation Results of Bloom Filters for String Matching
Network Intrusion Detection and Prevention Systems (IDPS) use string matching to scan Internet packets for malicious content. Bloom filters offer a mechanism to search for a large...
Michael Attig, Sarang Dharmapurikar, John W. Lockw...
CEAS
2007
Springer
14 years 1 months ago
Asymmetric Gradient Boosting with Application to Spam Filtering
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from di...
Jingrui He, Bo Thiesson
IAT
2008
IEEE
14 years 1 months ago
A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters
By feeding personal e-mails into the training set, personalized content-based spam filters are believed to classify e-mails in higher accuracy. However, filters trained by both sp...
Wei-Lun Teng, Wei-Chung Teng