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COLT
2010
Springer
13 years 6 months ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...
CVPR
2008
IEEE
14 years 10 months ago
Interactive image segmentation via minimization of quadratic energies on directed graphs
We propose a scheme to introduce directionality in the Random Walker algorithm for image segmentation. In particular, we extend the optimization framework of this algorithm to com...
Dheeraj Singaraju, Leo Grady, René Vidal
ICML
2007
IEEE
14 years 9 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
ESANN
2000
13 years 10 months ago
Boundary based movement correction of functional MR data using a genetic algorithm
This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent a...
Guojun Bao, Jagath C. Rajapakse
CDES
2008
130views Hardware» more  CDES 2008»
13 years 10 months ago
A Quantum Algorithm for Finding Minimum Exclusive-Or Expressions for Multi-Output Incompletely Specified Boolean Functions
This paper presents a quantum algorithm for finding minimal ESCT (Exclusive-or Sum of Complex Terms) or ESOP (Exclusive-or Sum Of Products) expressions for any arbitrary multi-outp...
Marinos Sampson, Dimitrios Voudouris, George K. Pa...