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    ICMLA
    2007
    116views Machine Learning» more  ICMLA 2007»
    Automatic medical coding of patient records via weighted ridge regression
    13 years 9 months ago
    Automatic medical coding of patient records via weighted ridge regression
    Download  www.cs.rpi.edu
    In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
    Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita...
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    IJCAI
    2007
    271views Artificial Intelligence» more  IJCAI 2007»
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    13 years 9 months ago
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    Download  www.informatik.uni-hamburg.de
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
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    NIPS
    2008
    305views Information Technology» more  NIPS 2008»
    Supervised Dictionary Learning
    13 years 9 months ago
    Supervised Dictionary Learning
    Download  www.di.ens.fr
    It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
    Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
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    NIPS
    2008
    141views Information Technology» more  NIPS 2008»
    A Scalable Hierarchical Distributed Language Model
    13 years 9 months ago
    A Scalable Hierarchical Distributed Language Model
    Download  www.cs.toronto.edu
    Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
    Andriy Mnih, Geoffrey E. Hinton
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    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    13 years 9 months ago
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    Download  www.stanford.edu
    Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
    John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
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