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» Learning Algorithms for Domain Adaptation
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GLOBECOM
2006
IEEE
15 years 6 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy
EXPERT
2008
134views more  EXPERT 2008»
14 years 12 months ago
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
Natural language technologies have been long envisioned to play a crucial role in transitioning from the current Web to a more "semantic" Web. If anything, the significa...
Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza,...
AGENTS
1999
Springer
15 years 4 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ICASSP
2009
IEEE
15 years 6 months ago
On robustness of coupled adaptive filters
We provide a time domain analysis of the robustness and stability performance for coupled adaptive algorithms of gradient type. The considered coupling may occur inherently as wel...
Robert Dallinger, Marjus Rupp
INTERSPEECH
2010
14 years 6 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin