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    CVPR
    2008
    IEEE
    251views Computer Vision» more  CVPR 2008»
    Transfer learning for image classification with sparse prototype representations
    14 years 9 months ago
    Transfer learning for image classification with sparse prototype representations
    Download  people.csail.mit.edu
    To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
    Ariadna Quattoni, Michael Collins, Trevor Darrell
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 7 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    CIKM
    2009
    Springer
    160views Information Technology» more  CIKM 2009»
    Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
    14 years 2 months ago
    Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
    Download  www.biomedcentral.com
    Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
    Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
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    KDD
    2008
    ACM
    119views Data Mining» more  KDD 2008»
    SAIL: summation-based incremental learning for information-theoretic clustering
    14 years 8 months ago
    SAIL: summation-based incremental learning for information-theoretic clustering
    Download  datamining.rutgers.edu
    Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
    Junjie Wu, Hui Xiong, Jian Chen
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    JAIR
    2002
    163views more  JAIR 2002»
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    13 years 7 months ago
    Efficient Reinforcement Learning Using Recursive Least-Squares Methods
    Download  www.jair.org
    The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
    Xin Xu, Hangen He, Dewen Hu
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