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» Function Optimization with Coevolutionary Algorithms
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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 9 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
WINE
2009
Springer
93views Economy» more  WINE 2009»
16 years 26 days ago
On Stackelberg Pricing with Computationally Bounded Consumers
In a Stackelberg pricing game a leader aims to set prices on a subset of a given collection of items, such as to maximize her revenue from a follower purchasing a feasible subset o...
Patrick Briest, Martin Hoefer, Luciano Gualà...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
16 years 25 days ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
JSAC
2006
174views more  JSAC 2006»
15 years 6 months ago
Integrated Radio Resource Allocation for Multihop Cellular Networks With Fixed Relay Stations
Recently, the notion that a logical next step towards future mobile radio networks is to introduce multihop relaying into cellular networks, has gained wide acceptance. Nevertheles...
Yajian Liu, Reza Hoshyar, X. Yang, Rahim Tafazolli
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 6 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker