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2010
Tsinghua U.
16 years 4 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
COMPGEOM
2009
ACM
16 years 1 months ago
Integral estimation from point cloud in d-dimensional space: a geometric view
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...
Chuanjiang Luo, Jian Sun, Yusu Wang
DATE
2007
IEEE
100views Hardware» more  DATE 2007»
16 years 1 months ago
Working with process variation aware caches
Deep-submicron designs have to take care of process variation effects as variations in critical process parameters result in large variations in access latencies of hardware compo...
Madhu Mutyam, Narayanan Vijaykrishnan
JMLR
2012
13 years 9 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
206
Voted
ICCV
2009
IEEE
17 years 11 days ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...