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» A Genetic Algorithm Applied to the Maximum Flow Problem
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HAIS
2009
Springer
15 years 7 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...
125
Voted
AIPS
2008
15 years 5 months ago
Linear Relaxation Techniques for Task Management in Uncertain Settings
In this paper, we consider the problem of assisting a busy user in managing her workload of pending tasks. We assume that our user is typically oversubscribed, and is invariably j...
Pradeep Varakantham, Stephen F. Smith
202
Voted
BIRTHDAY
2011
Springer
14 years 2 months ago
Algorithmic Aspects of Risk Management
Abstract. Risk analysis has been used to manage the security of systems for several decades. However, its use has been limited to offline risk computation and manual response. In c...
Ashish Gehani, Lee Zaniewski, K. Subramani
123
Voted
CVPR
1998
IEEE
16 years 4 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 3 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder