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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 3 days ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
APPINF
2003
14 years 11 months ago
Evolving High-Dimensional, Adaptive Camera-based Speed Sensors
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, ...
Ralf Salomon
APIN
1999
107views more  APIN 1999»
14 years 9 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
MM
1997
ACM
131views Multimedia» more  MM 1997»
15 years 1 months ago
Continuous Display Using Heterogeneous Disk-Subsystems
A number of recent technological trends have made data intensive applications such as continuous media (audio and video) servers a reality. These servers store and retrieve a larg...
Roger Zimmermann, Shahram Ghandeharizadeh