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129
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INFORMATICALT
2002
91views more  INFORMATICALT 2002»
15 years 2 months ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus
113
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CORR
2010
Springer
108views Education» more  CORR 2010»
14 years 9 months ago
Finding Cycles and Trees in Sublinear Time
We present sublinear-time (randomized) algorithms for finding simple cycles of length at least k 3 and tree-minors in bounded-degree graphs. The complexity of these algorithms is...
Artur Czumaj, Oded Goldreich, Dana Ron, C. Seshadh...
152
Voted
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 4 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
125
Voted
IMCSIT
2010
15 years 12 days ago
Efficient Portfolio Optimization with Conditional Value at Risk
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Wlodzimierz Ogryczak, Tomasz Sliwinski
CIDM
2009
IEEE
15 years 9 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...