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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
14 years 10 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
SETA
2004
Springer
93views Mathematics» more  SETA 2004»
15 years 2 months ago
Spectral Orbits and Peak-to-Average Power Ratio of Boolean Functions with Respect to the {I, H, N}n Transform
We enumerate the inequivalent self-dual additive codes over GF(4) of blocklength n, thereby extending the sequence A090899 in The On-Line Encyclopedia of Integer Sequences from n =...
Lars Eirik Danielsen, Matthew G. Parker
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
15 years 9 months ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 4 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
CORR
2012
Springer
195views Education» more  CORR 2012»
13 years 5 months ago
Ranking hubs and authorities using matrix functions
The notions of subgraph centrality and communicability, based on the exponential of the adjacency matrix of the underlying graph, have been effectively used in the analysis of und...
Michele Benzi, Ernesto Estrada, Christine Klymko