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IROS
2009
IEEE
185views Robotics» more  IROS 2009»
15 years 10 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of ef...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
JMLR
2006
131views more  JMLR 2006»
15 years 3 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 8 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
NA
2010
69views more  NA 2010»
15 years 1 months ago
Partial spectral projected gradient method with active-set strategy for linearly constrained optimization
A method for linearly constrained optimization which modifies and generalizes recent box-constraint optimization algorithms is introduced. The new algorithm is based on a relaxed...
Marina Andretta, Ernesto G. Birgin, José Ma...
ICML
2010
IEEE
15 years 4 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy