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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 8 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
CE
2006
123views more  CE 2006»
15 years 6 months ago
Conceptual and socio-cognitive support for collaborative learning in videoconferencing environments
Studies have shown that videoconferencing is an effective medium for facilitating communication between parties who are separated by distance, particularly when learners are engag...
Bernhard Ertl, Frank Fischer, Heinz Mandl
JMLR
2006
131views more  JMLR 2006»
15 years 6 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
ETS
2002
IEEE
116views Hardware» more  ETS 2002»
15 years 6 months ago
Human Activity Systems: A Theoretical Framework for Designing Learning for Multicultural Settings
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
Jill Slay
IPL
2010
92views more  IPL 2010»
15 years 4 months ago
Learning parities in the mistake-bound model
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...
Harry Buhrman, David García-Soriano, Arie M...