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    GLOBECOM
    2008
    IEEE
    129views Communications» more  GLOBECOM 2008»
    A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
    14 years 3 months ago
    A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
    Download  users.ece.utexas.edu
    —MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
    Robert C. Daniels, Constantine Caramanis, Robert W...
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    ACL
    2007
    144views Computational Linguistics» more  ACL 2007»
    Unsupervised Language Model Adaptation Incorporating Named Entity Information
    13 years 10 months ago
    Unsupervised Language Model Adaptation Incorporating Named Entity Information
    Download  www.hlt.utdallas.edu
    Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
    Feifan Liu, Yang Liu
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    SECON
    2007
    IEEE
    83views Communications» more  SECON 2007»
    A Semi Markov-based Analysis of Rate Adaptation Algorithms in Wireless LANs
    14 years 3 months ago
    A Semi Markov-based Analysis of Rate Adaptation Algorithms in Wireless LANs
    Download  people.bu.edu
    Abstract— Rate adaptation plays a key role in determining the performance of wireless LANs. In this paper, we introduce a semi-Markovian framework to analyze the performance of t...
    Angad Singh, David Starobinski
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    ICASSP
    2009
    IEEE
    155views Signal Processing» more  ICASSP 2009»
    Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation
    14 years 3 months ago
    Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation
    Download  www.elec.qmul.ac.uk
    We have implemented several fast and flexible adaptive lapped orthogonal transform (LOT) schemes for underdetermined audio source separation. This is generally addressed by time-...
    Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
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    SIGDIAL
    2010
    186views Natural Language Processing» more  SIGDIAL 2010»
    Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
    13 years 6 months ago
    Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
    Download  www.sigdial.org
    We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
    Srinivasan Janarthanam, Oliver Lemon
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