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ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
WWW
2004
ACM
16 years 7 months ago
Authoring of learning styles in adaptive hypermedia: problems and solutions
Learning styles, as well as the best ways of responding with corresponding instructional strategies, have been intensively studied in the classical educational (classroom) setting...
Natalia Stash, Alexandra I. Cristea, Paul De Bra
ICFP
2009
ACM
16 years 7 months ago
Safe functional reactive programming through dependent types
Functional Reactive Programming (FRP) is an approach to reactive programming where systems are structured as networks of functions operating on signals. FRP is based on the synchr...
Neil Sculthorpe, Henrik Nilsson
CHI
2009
ACM
16 years 7 months ago
Cell phone software aiding name recall
Senior citizens often find it difficult to remember names. This paper describes a novel cell phone application that uses information about one's social network and the places...
Kent Fenwick, Michael Massimi, Ronald Baecker, San...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 7 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
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