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» Resampling methods for input modeling
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142
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IUI
2000
ACM
15 years 7 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
121
Voted
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 9 months ago
A Two-Layer Characteristic-based Rate Control Framework for Low Delay Video Transmission
— In this paper, we present a two-layer rate control In [4], their rate controller TMN8 applied the Lagrange framework for low delay video transmission based on a multiplier to d...
Chun-Yuan Chang, Ming-Hung Chen, Cheng-Fu Chou, Di...
131
Voted
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 5 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
133
Voted
SIGSOFT
2006
ACM
16 years 3 months ago
SYNERGY: a new algorithm for property checking
We consider the problem if a given program satisfies a specified safety property. Interesting programs have infinite state spaces, with inputs ranging over infinite domains, and f...
Bhargav S. Gulavani, Thomas A. Henzinger, Yamini K...
114
Voted
ISSTA
2000
ACM
15 years 7 months ago
Testability, fault size and the domain-to-range ratio: An eternal triangle
A number of different concepts have been proposed that, loosely speaking, revolve around the notion of software testability. Indeed, the concept of testability itself has been int...
Martin R. Woodward, Zuhoor A. Al-Khanjari