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» Perceptual Learning and Abstraction in Machine Learning
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ECTEL
2010
Springer
13 years 7 months ago
Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning
Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social ...
Carsten Ullrich, Kerstin Borau, Karen Stepanyan
CORR
2011
Springer
222views Education» more  CORR 2011»
13 years 13 days ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
ICML
2004
IEEE
14 years 9 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
DAGM
2009
Springer
14 years 3 months ago
Face Reconstruction from Skull Shapes and Physical Attributes
Reconstructing a person’s face from its skeletal remains is a task that has over many decades fascinated artist and scientist alike. In this paper we treat facial reconstruction ...
Pascal Paysan, Marcel Lüthi, Thomas Albrecht,...