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ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 2 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
NIPS
2004
13 years 9 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 2 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
NN
2007
Springer
13 years 7 months ago
A neural model of decision-making by the superior colicullus in an antisaccade task
In the antisaccade paradigm subjects are instructed to perform eye movements in the opposite direction from the location of a visually appearing stimulus while they are fixating ...
Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evd...
ICWE
2003
Springer
14 years 21 days ago
X-SHAAD: An XML Implementation for Hypermedia Systems Modeling through SHAAD
Abstract. In this paper we present an implementation using XML and Java (XSHAAD) based on a modular architecture of SHAAD to support a web-based Adaptive Hypermedia System. This ar...
David Mérida, Ramón Fabregat, Carlos...