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» An fMRI Activation Method Using Complex Data
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IDEAL
2010
Springer
14 years 10 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine
IJCNN
2000
IEEE
15 years 3 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
JMLR
2006
140views more  JMLR 2006»
14 years 11 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
ASSETS
2005
ACM
15 years 1 months ago
Online focus groups used as an accessible participatory research method
Participatory research methods are being used internationally to gather data on complex social, cultural, and political concerns that effect the use of technology [4]. Researchers...
Ted L. Wattenberg
EGC
2005
Springer
15 years 5 months ago
OpenMolGRID: Using Automated Workflows in GRID Computing Environment
Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an ...
Sulev Sild, Uko Maran, Mathilde Romberg, Bernd Sch...