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» Gaussian Processes in Machine Learning
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NIPS
2003
13 years 10 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
ICALT
2005
IEEE
14 years 2 months ago
Learning Units Design Based in Grid Computing
: The development of cooperative, flexible and reusable learning environments is a need in modern education. The IMS Learning Design specification has played a very important role ...
Leonel Iriarte Navarro, Manuel Marco Such, Alexand...
ECTEL
2010
Springer
13 years 10 months ago
A Simple E-learning System Based on Classroom Competition
We present an e-learning system based on online forms that allows teachers to easily organise competitions in a classroom. This system is used in a preliminary study to evaluate wh...
Iván Cantador, José M. Conde
JMLR
2002
117views more  JMLR 2002»
13 years 8 months ago
Learning to Construct Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
ICALT
2003
IEEE
14 years 2 months ago
Constructivism vs. Objectivism: Where is difference for Designers of e-Learning Environments?
This position paper discusses different philosophical views of learning and the consequences of these different epistemologies on the design of online learning environments. Acade...
Miguel Baptista Nunes, Maggie McPherson