1769 search results - page 322 / 354 » Prediction on Spike Data Using Kernel Algorithms |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
EDM
2008
13 years 9 months ago
2008
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
IJCAI
2007
13 years 9 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
DEXAW
2006
IEEE
14 years 1 months ago
2006
IEEE
One of the pre-requisites for the realization of the Semantic Web vision are matching techniques which are capable of handling the open, dynamic and heterogeneous nature of the se...