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ICALT
2006
IEEE
15 years 11 months ago
ANNANN - Next Steps for Scaffolding Learning About Programs
It is difficult for a student to learn how to program and to build an understanding of the rationale which underpins the development of a program’s componentparts. Conventional ...
Su White, Clare J. Hooper, Leslie Carr, Timothy P....
117
Voted
CEC
2005
IEEE
15 years 10 months ago
Evolving improved incremental learning schemes for neural network systems
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
Tebogo Seipone, John A. Bullinaria
127
Voted
ECML
2005
Springer
15 years 10 months ago
Learning (k, l)-Contextual Tree Languages for Information Extraction
This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k,l)-contextual tree languages. It also introduces a method to...
Stefan Raeymaekers, Maurice Bruynooghe, Jan Van de...
ATAL
2004
Springer
15 years 10 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
140
Voted
BMCV
2000
Springer
15 years 9 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek