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IWINAC
2007
Springer
14 years 2 months 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
FLAIRS
2007
13 years 11 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
ECTEL
2007
Springer
14 years 2 months ago
Exploiting Policies in an Open Infrastructure for Lifelong Learning
Nowadays, people are in need for continuous learning in order to keep up to date or be upgraded in their job. An infrastructure for lifelong learning requires continuous adaptation...
Juri Luca De Coi, Philipp Kärger, Arne Wolf K...
ICALT
2006
IEEE
14 years 2 months ago
Building Learning Networks for Lifelong Learners: Challenges, Models, Technologies and Standards
In this tutorial five key problems are discussed that occur in the area of lifelong learning. For each problem we will look at the possible technological solutions. The five probl...
Rob Koper
ETS
2007
IEEE
76views Hardware» more  ETS 2007»
13 years 8 months ago
Lifelong Learning Organisers: Requirements for Tools for Supporting Episodic and Semantic Learning
We propose Lifelong Learning Organisers (LLOs) as tools to support the capturing, organisation and retrieval of personal learning experiences, resources and notes, over a range of...
Giasemi N. Vavoula, Mike Sharples