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TROB
2008
207views more  TROB 2008»
15 years 3 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
JMLR
2010
144views more  JMLR 2010»
14 years 10 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
187
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ICASSP
2011
IEEE
14 years 7 months ago
Enhanced Poisson sum representation for alpha-stable processes
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
Tatjana Lemke, Simon J. Godsill
AIED
2011
Springer
14 years 7 months ago
Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathema
A student is said to have committed a careless error when a student’s answer is wrong despite the fact that he or she knows the answer (Clements, 1982). In this paper, educationa...
Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joa...
GLOBECOM
2010
IEEE
15 years 1 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...