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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 5 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.
16 years 2 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 11 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
148
Voted
ML
2006
ACM
103views Machine Learning» more  ML 2006»
15 years 11 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
15 years 2 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. ...