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ECML
2007
Springer
15 years 10 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
EUC
2007
Springer
15 years 10 months ago
A Key Distribution Scheme Preventing Collusion Attacks in Ubiquitous Heterogeneous Sensor Networks
Abstract. Random key pre-distribution schemes are vulnerable to collusion attacks. In this paper, we propose a new key management scheme for ubiquitous heterogeneous sensor network...
Firdous Kausar, Sajid Hussain, Jong Hyuk Park, Ash...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
GRID
2007
Springer
15 years 10 months ago
Grid-based asynchronous replica exchange
— Replica exchange is a powerful sampling algorithm and can be effectively used for applications such as simulating the structure, function, folding, and dynamics of proteins and...
Zhen Li, Manish Parashar
IPMI
2007
Springer
15 years 10 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...
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