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ECCC
2010
124views more  ECCC 2010»
13 years 10 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
14 years 10 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais
SIGIR
2011
ACM
13 years 18 days ago
Picasso - to sing, you must close your eyes and draw
We study the problem of automatically assigning appropriate music pieces to a picture or, in general, series of pictures. This task, commonly referred to as soundtrack suggestion,...
Aleksandar Stupar, Sebastian Michel
SIGMOD
2009
ACM
184views Database» more  SIGMOD 2009»
14 years 10 months ago
Minimizing the communication cost for continuous skyline maintenance
Existing work in the skyline literature focuses on optimizing the processing cost. This paper aims at minimization of the communication overhead in client-server architectures, wh...
Zhenjie Zhang, Reynold Cheng, Dimitris Papadias, A...
NIPS
2003
13 years 11 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri