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» Regularized Learning with Networks of Features
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IJPRAI
2002
93views more  IJPRAI 2002»
14 years 11 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
IWANN
2007
Springer
15 years 5 months ago
Towards the Integration of a Bioprofile in Ocular Melanoma
Approximately 50% of all patients with intraocular melanoma die of metastatic disease, despite successful treatment of the primary tumour. The main factors associated with mortalit...
Azzam F. Taktak, Antonio Eleuteri, Christian Setzk...
ICPP
1993
IEEE
15 years 3 months ago
Scalability Study of the KSR-1
Scalability of parallel architectures is an interesting area of current research. Shared memory parallel programming is attractive stemming from its relative ease in transitioning...
Umakishore Ramachandran, Gautam Shah, Ravi Kumar, ...
AAAI
2010
15 years 1 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
CF
2007
ACM
15 years 3 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...