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CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 7 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
ATAL
2009
Springer
14 years 2 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
CDC
2010
IEEE
123views Control Systems» more  CDC 2010»
13 years 2 months ago
Implicit learning for explicit discount targeting in Online Social networks
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We cons...
Srinivas Shakkottai, Lei Ying, Sankalp Sah
HICSS
2008
IEEE
139views Biometrics» more  HICSS 2008»
14 years 2 months ago
Understanding the Roles of Knowledge Sharing and Trust in Online Learning Communities
This paper builds upon action and design research aimed at enhancing scholarly community and conversation in a graduate school setting. In this paper we focus on knowledge sharing...
Brian Thoms, Nathan Garrett, Jesus Canelon Herrera...
AIED
2005
Springer
14 years 1 months ago
Assessing and Scaffolding Collaborative Learning in Online Discussions
: In this paper we present two computational approaches that can be used characterize and measure online threaded discussions and demonstrate that they can objectively validate stu...
Erin Shaw