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» The Tradeoffs of Large Scale Learning
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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 6 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
ICML
2002
IEEE
14 years 5 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
WMTE
2006
IEEE
13 years 11 months ago
A Framework for Interoperability with VLEs for Large Scale Deployment of Mobile Learning
The diversity of mobile devices and their limitations have raised many challenges for the actual deployment of mobile learning across institutions. The main objective of this work...
Fatma Elsayed Meawad, Geneen Stubbs
INFOCOM
2003
IEEE
13 years 10 months ago
Probing strategies for distributed admission control in large and small scale systems
— The aim of this article is to propose and analyse measurement-based admission control schemes. We distinguish between large-scale and small-scale systems, where scale is measur...
Peter B. Key, Laurent Massoulié
ICDCSW
2003
IEEE
13 years 10 months ago
Optimal Transmission Radius for Flooding in Large Scale Sensor Networks
—One of the principal characteristics of large scale wireless sensor networks is their distributed, multi-hop nature. Due to this characteristic, applications such as query propa...
Marco Zuniga, Bhaskar Krishnamachari