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NIPS
2008
13 years 10 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
NIPS
2008
13 years 10 months ago
On the Efficient Minimization of Classification Calibrated Surrogates
Bartlett et al (2006) recently proved that a ground condition for convex surrogates, classification calibration, ties up the minimization of the surrogates and classification risk...
Richard Nock, Frank Nielsen
SCSC
2007
13 years 10 months ago
Damage mechanics modeling of concurrent thermal and vibration loading on electronics packaging
— The problem of concurrent thermal and vibration loading has not been thoroughly studied even though it is common in electronic packaging applications. Here we attempt to addres...
Cemal Basaran, Juan Gomez, Minghui Lin, Shidong Li
AOIS
2004
13 years 10 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
OPODIS
2004
13 years 10 months ago
Optimal Resilience Asynchronous Approximate Agreement
Consider an asynchronous system where each process begins with an arbitrary real value. Given some fixed > 0, an approximate agreement algorithm must have all non-faulty process...
Ittai Abraham, Yonatan Amit, Danny Dolev