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NIPS
1998
15 years 5 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
EDBT
2009
ACM
136views Database» more  EDBT 2009»
15 years 11 months ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
NIPS
2008
15 years 5 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
CASCON
2004
129views Education» more  CASCON 2004»
15 years 5 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn