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IWINAC
2007
Springer
16 years 29 days ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
ICALT
2006
IEEE
16 years 26 days ago
CoCoFlash: Conzilla, Confolio, and FlashMeeting Integration for Enhanced Professonal Learning
This paper describes the integration of the Conzilla concept browser and the Confolio portfolio management system with the FlashMeeting videoconferencing tool. The result of this ...
Ambjörn Naeve, Matthias Palmér, Mikael...
WIA
1999
Springer
15 years 11 months ago
Animation of the Generation and Computation of Finite Automata for Learning Software
Abstract. In computer science methods to aid learning are very imporcause abstract models are used frequently. For this conventional teaching methods do not suffice. We have develo...
Beatrix Braune, Stephan Diehl, Andreas Kerren, Rei...
IJCAI
2003
15 years 8 months ago
Artificial Neural Network for Sequence Learning
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
Sorin Moga, Philippe Gaussier
JMLR
2008
151views more  JMLR 2008»
15 years 6 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs