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» Kernel methods for learning languages
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SAC
2006
ACM
14 years 3 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
SIGIR
2008
ACM
13 years 9 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
CHI
2009
ACM
14 years 9 months ago
Using language tests and emotional expressions to determine the learnability of artificial languages
The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goa...
Omar Mubin, Suleman Shahid, Christoph Bartneck, Em...
COLING
2002
13 years 9 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
ECRTS
2002
IEEE
14 years 2 months ago
'QoS Safe' Kernel Extensions for Real-Time Resource Management
General-purpose operating systems are ill-equipped to meet the quality of service (QoS) requirements of complex real-time applications. Consequently, many classes of realtime appl...
Richard West, Jason Gloudon