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STOC
2012
ACM
225views Algorithms» more  STOC 2012»
13 years 4 months ago
An algorithmic characterization of multi-dimensional mechanisms
We obtain a characterization of feasible, Bayesian, multi-item multi-bidder mechanisms with independent, additive bidders as distributions over hierarchical mechanisms. Combined w...
Yang Cai, Constantinos Daskalakis, S. Matthew Wein...
SODA
2012
ACM
229views Algorithms» more  SODA 2012»
13 years 4 months ago
Approximation algorithms for stochastic orienteering
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
Anupam Gupta, Ravishankar Krishnaswamy, Viswanath ...
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AAAI
2012
13 years 4 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
EMO
2003
Springer
109views Optimization» more  EMO 2003»
15 years 7 months ago
A Population and Interval Constraint Propagation Algorithm
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
Vincent Barichard, Jin-Kao Hao
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
15 years 7 months ago
A Probabilistic Ensemble Pruning Algorithm
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
Huanhuan Chen, Peter Tiño, Xin Yao