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FOCS
1994
IEEE
13 years 12 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
AVSS
2006
IEEE
14 years 1 months ago
Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunz...
EWSPT
2003
Springer
14 years 29 days ago
Lessons Learned and Recommendations from Two Large Norwegian SPI Programmes
: Software development is an experimental discipline, i.e. somewhat unpredictable. This suggests that software processes improvement should be based on the continuous iteration of ...
Reidar Conradi, Tore Dybå, Dag I. K. Sj&osla...
JUCS
2010
159views more  JUCS 2010»
13 years 2 months ago
Authoring of Probabilistic Sequencing in Adaptive Hypermedia with Bayesian Networks
Abstract: One of the difficulties that self-directed learners face on their learning process is choosing the right learning resources. One of the goals of adaptive educational syst...
Sergio Gutiérrez Santos, Jaime Mayor-Berzal...
INFOCOM
2012
IEEE
11 years 10 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu