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NIPS
2004
15 years 3 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
MP
2007
89views more  MP 2007»
15 years 1 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...
133
Voted
CEC
2009
IEEE
15 years 8 months ago
Robot path planning in uncertain environments based on particle swarm optimization
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...
Dunwei Gong, Li Lu, Ming Li
92
Voted
ICIP
2008
IEEE
15 years 8 months ago
Graph-cut optimization of the ratio of functions and its application to image segmentation
Optimizing the ratio of two functions of binary variables is a common task in many image analysis applications. In general, such a ratio is not amenable to graph-cut based optimiz...
Hui Wang, Nilanjan Ray, Hong Zhang
ICIC
2007
Springer
15 years 8 months ago
An Improved Nested Partitions Algorithm Based on Simulated Annealing in Complex Decision Problem Optimization
: - This paper introduces the main ideas of the nested partitions (NP) method, analyses its efficiency theoretically and proposes the way to improve the optimization efficiency of ...
Yan Luo, Changrui Yu