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» Sampling Techniques for Kernel Methods
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ICML
2001
IEEE
15 years 10 months ago
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
Nicholas Roy, Andrew McCallum
GRAPHICSINTERFACE
2003
14 years 11 months ago
Entropy-based Adaptive Sampling
Ray tracing techniques need supersampling to reduce aliasing and/or noise in the final image. Since not all the pixels in the image require the same number of rays, supersampling...
Jaume Rigau, Miquel Feixas, Mateu Sbert
SIGIR
2006
ACM
15 years 3 months ago
A statistical method for system evaluation using incomplete judgments
We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz
DEXA
2011
Springer
263views Database» more  DEXA 2011»
13 years 9 months ago
Sampling the National Deep Web
A huge portion of today’s Web consists of web pages filled with information from myriads of online databases. This part of the Web, known as the deep Web, is to date relatively ...
Denis Shestakov
PERVASIVE
2011
Springer
14 years 19 days ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...