1037 search results - page 81 / 208 » Learning of Boolean Functions Using Support Vector Machines |
WSCG
2004
13 years 10 months ago
2004
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
SEAL
1998
Springer
14 years 1 months ago
1998
Springer
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
BIOINFORMATICS
2007
13 years 9 months ago
2007
Motivation: Protein–protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low s...
PAMI
2006
13 years 9 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
NECO
2008
13 years 9 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...