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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 4 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...

Publication
234views
12 years 1 months ago
Road Scene Understanding from a Single Image
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
PPSN
1990
Springer
14 years 2 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
SIGUCCS
2003
ACM
14 years 3 months ago
WebDAV: what it is, what it does, why you need it
Legacy network file services such as NFS, SMB/CIFS, and AFP changed the way we worked. File services running on crossplatform networks allowed us to save our files on remote syste...
Luis O. Hernández, Mahmoud Pegah
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 11 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori