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» Boosting for transfer learning
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KAIS
2010
144views more  KAIS 2010»
14 years 11 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
107
Voted
ICPR
2010
IEEE
14 years 10 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
105
Voted
EUROCRYPT
2007
Springer
15 years 7 months ago
Simulatable Adaptive Oblivious Transfer
We study an adaptive variant of oblivious transfer in which a sender has N messages, of which a receiver can adaptively choose to receive k one-after-the-other, in such a way that ...
Jan Camenisch, Gregory Neven, Abhi Shelat
97
Voted
MASCOTS
2001
15 years 2 months ago
PROFS-Performance-Oriented Data Reorganization for Log-Structured File System on Multi-Zone Disks
I/O is a major performance bottleneck in modern computer systems. Modern disks use the Zone-Bit-Recording (ZBR) technology to increase the capacity. A direct consequence of ZBR is...
Jun Wang, Yiming Hu
SIGSOFT
2001
ACM
16 years 1 months ago
An empirical study on the utility of formal routines to transfer knowledge and experience
Most quality and software process improvement frameworks emphasize written (i.e. formal) documentation to convey recommended work practices. However, there is considerable skeptic...
Reidar Conradi, Tore Dybå