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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 8 days ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 3 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 4 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
13 years 11 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
CRYPTO
2005
Springer
149views Cryptology» more  CRYPTO 2005»
13 years 11 months ago
Authenticating Pervasive Devices with Human Protocols
Forgery and counterfeiting are emerging as serious security risks in low-cost pervasive computing devices. These devices lack the computational, storage, power, and communication r...
Ari Juels, Stephen A. Weis