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IJCNN
2006
IEEE
14 years 2 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
ML
2000
ACM
105views Machine Learning» more  ML 2000»
13 years 8 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen
IJRR
2008
139views more  IJRR 2008»
13 years 8 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
ICML
2004
IEEE
14 years 9 months ago
Links between perceptrons, MLPs and SVMs
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
Ronan Collobert, Samy Bengio
MCU
1998
119views Hardware» more  MCU 1998»
13 years 10 months ago
DNA Computing Based on Splicing: Universality Results
The paper extends some of the most recently obtained results on the computational universality of speci c variants of H systems (e.g. with regular sets of rules) and proves that we...
Gheorghe Paun