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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 5 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
TIM
2010
112views Education» more  TIM 2010»
12 years 12 months ago
Helmholtz-Type Regularization Method for Permittivity Reconstruction Using Experimental Phantom Data of Electrical Capacitance T
Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitance between sets of electrodes placed aroun...
Manuchehr Soleimani, Phaneendra K. Yalavarthy, Ham...
NIPS
2004
13 years 6 months ago
Mistake Bounds for Maximum Entropy Discrimination
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
Philip M. Long, Xinyu Wu
SIAMCO
2010
153views more  SIAMCO 2010»
13 years 12 hour ago
Optimal Control for an Elliptic System with Polygonal State Constraints
This work is devoted to stationary optimal control problems with polygonal constraints on the components of the state. Existence of Lagrange multipliers, of different regularity, i...
Karl Kunisch, Kewei Liang, Xiliang Lu
JMLR
2010
161views more  JMLR 2010»
13 years 1 days ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao