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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 2 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
ICS
2010
Tsinghua U.
15 years 11 months ago
Space-Efficient Estimation of Robust Statistics and Distribution Testing
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
Steve Chien, Katrina Ligett, Andrew McGregor
PERCOM
2009
ACM
15 years 8 months ago
A Distributed k-Anonymity Protocol for Location Privacy
To benefit from a location-based service, a person must reveal her location to the service. However, knowing the person’s location might allow the service to re-identify the pe...
Ge Zhong, Urs Hengartner
ML
2006
ACM
103views Machine Learning» more  ML 2006»
15 years 7 months ago
Type-safe distributed programming for OCaml
Existing ML-like languages guarantee type-safety, ensuring memty and protecting the invariants of abstract types, but only within single executions of single programs. Distributed...
John Billings, Peter Sewell, Mark R. Shinwell, Rok...
USS
2010
14 years 11 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...