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NIPS
2000
15 years 4 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio
136
Voted
ETS
2002
IEEE
139views Hardware» more  ETS 2002»
15 years 3 months ago
Integrating technology into learning and working: A promising future
In this concluding synthesis article, I summarize and discuss the papers that comprise both parts of this special issues. Two organizing frameworks are provided to facilitate read...
Xuemei Wang
116
Voted
ICALT
2007
IEEE
15 years 7 months ago
Towards Collaborative Domain Module Authoring
Technology Supported Learning Systems have proved to be useful in many learning situations. However, the development of such systems is still a hard task. Ontologies and Learning ...
Mikel Larrañaga, Ianire Niebla, Urko Rueda,...
IJCAI
2001
15 years 4 months ago
Robot Weightlifting By Direct Policy Search
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Michael T. Rosenstein, Andrew G. Barto
KCAP
2009
ACM
15 years 10 months ago
POIROT: acquiring workflows by combining models learned from interpreted traces
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...