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ICWL
2004
Springer
15 years 8 months ago
Activity Theory as Tool for Analyzing Asynchronous Learning Networks (ALN)
Abstract. This paper calls on activity theory as tool for analyzing Asynchronous Learning Networks (ALN) to achieve a better understanding of their dynamics. This paper makes some ...
Jerry Zhigang Li, Sharon Elizabeth Bratt
IJSNET
2006
145views more  IJSNET 2006»
15 years 3 months ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
GLOBECOM
2010
IEEE
15 years 1 months ago
Learning Interference Strategies in Cognitive ARQ Networks
Cognitive radios, which enable the coexistence on the same bandwidth of licensed primary and unlicensed secondary users, have the potential for dramatically increasing the efficien...
Sina Firouzabadi, Marco Levorato, Daniel O'Neill, ...
151
Voted
BMCBI
2010
143views more  BMCBI 2010»
15 years 3 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
136
Voted
JSAC
2010
138views more  JSAC 2010»
15 years 1 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar