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KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 6 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
IJCNN
2008
IEEE
16 years 20 days ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
ICC
2009
IEEE
121views Communications» more  ICC 2009»
15 years 4 months ago
Trust-Based Data Disclosure in Sensor Networks
In sensor networks, privacy can be addressed in different levels of the network stack and at different points of the information flow. This paper presents an application level sche...
Efthimia Aivaloglou, Stefanos Gritzalis
SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
PPAM
2007
Springer
16 years 11 days ago
A Container-Iterator Parallel Programming Model
There are several parallel programming models available for numerical computations at different levels of expressibility and ease of use. For the development of new domain speci...
Gerhard W. Zumbusch