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SBRN
1998
IEEE
15 years 1 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
67
Voted
ICANN
2009
Springer
15 years 2 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
IAT
2008
IEEE
14 years 9 months ago
nAble Adaptive Scaffolding Agent - Intelligent Support for Novices
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an a...
Joseph MacInnes, Stephanie Santosa, Nathan Kronenf...
ICANN
2011
Springer
14 years 1 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 8 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...