Sciweavers

82 search results - page 9 / 17
» Balancing Exploration and Exploitation in Learning to Rank O...
Sort
View
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 28 days ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
CSE
2009
IEEE
15 years 3 months ago
The Use of Online Videos in the 2008 U.S. Congressional Elections
With 39% of Americans admitting the use of the Web to get unfiltered campaign materials, it becomes important to evaluate how they are searching for these materials and what they a...
Eni Mustafaraj, Panagiotis Takis Metaxas, Catherin...
GIS
2009
ACM
15 years 10 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
ICASSP
2011
IEEE
14 years 9 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
SAC
2005
ACM
15 years 11 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra