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» Improving Mining Quality by Exploiting Data Dependency
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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 5 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
MOBIMEDIA
2007
15 years 1 months ago
Unequal error protection based on objective video evaluation model
Usually unequal error protection schemes mostly focus on protecting video data parameters with unequal rates or levels depending on their sensitivities to errors. This paper first...
Wen Ji, Yiqiang Chen, Min Chen, Yi Kang
106
Voted
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 7 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
UM
2005
Springer
15 years 5 months ago
Exploring Eye Tracking to Increase Bandwidth in User Modeling
The accuracy of a user model usually depends on the amount and quality of information available on the user’s states of interest. An eye-tracker provides data detailing where a u...
Cristina Conati, Christina Merten, Kasia Muldner, ...
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 5 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...