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» Generalization Error Bounds Using Unlabeled Data
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APIN
2004
116views more  APIN 2004»
14 years 10 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
JMLR
2006
123views more  JMLR 2006»
14 years 10 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
SOUPS
2009
ACM
15 years 4 months ago
How users use access control
Existing technologies for file sharing differ widely in the granularity of control they give users over who can access their data; achieving finer-grained control generally requ...
Diana K. Smetters, Nathan Good
WWW
2010
ACM
15 years 5 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
FOCS
2000
IEEE
15 years 2 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk