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» Constructing good learners using evolved pattern generators
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IWANN
2005
Springer
13 years 11 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
PAMI
2006
134views more  PAMI 2006»
13 years 5 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
ACMICEC
2004
ACM
205views ECommerce» more  ACMICEC 2004»
13 years 11 months ago
M-Modeler: a framework implementation for modeling m-commerce applications
At the present time, the use of mobile technology in business, is becoming an opportunity to generate competitive advantages within organization environments. Mobile technology he...
Ana Hilda Morales-Aranda, Oscar Mayora-Ibarra, San...
CCR
2005
129views more  CCR 2005»
13 years 5 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 8 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou