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JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik
VL
2007
IEEE
166views Visual Languages» more  VL 2007»
14 years 2 months ago
Community-Based Scaffolding to Promote End-User Learning
End-user programming provides a unique opportunity to study informal computer science education and knowledge acquisition in the real world. We seek to explore the use of communit...
Brian Dorn
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 1 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
VLDB
1991
ACM
132views Database» more  VLDB 1991»
13 years 11 months ago
Fido: A Cache That Learns to Fetch
This paper describesFido, a predictive cache [Palmer 19901that prefetchesby employing an associativememoryto recognizeaccesspatterns within a context over time. Repeatedtraining a...
Mark Palmer, Stanley B. Zdonik
EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish