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KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 5 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
CHI
2008
ACM
16 years 5 months ago
"Seeing like a rover": embodied experience on the mars exploration rover mission
Although they work with two non-humanoid robots located several million miles away, the distributed team that operates the Mars Exploration Rovers demonstrates an uncanny sympathy...
Janet Vertesi
HPCA
2008
IEEE
16 years 5 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
151
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HPCA
2004
IEEE
16 years 5 months ago
Creating Converged Trace Schedules Using String Matching
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
Satish Narayanasamy, Yuanfang Hu, Suleyman Sair, B...
CVPR
2010
IEEE
16 years 25 days ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem