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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 5 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    IEAAIE
    2005
    Springer
    278views Artificial Intelligence» more  IEAAIE 2005»
    Movement Prediction from Real-World Images Using a Liquid State Machine
    14 years 1 months ago
    Movement Prediction from Real-World Images Using a Liquid State Machine
    Download  www.igi.tugraz.at
    Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
    Harald Burgsteiner, Mark Kröll, Alexander Leo...
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    ISMB
    1993
    110views Computational Biology» more  ISMB 1993»
    Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
    13 years 9 months ago
    Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
    Download  www.aaai.org
    Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
    Kevin J. Cherkauer, Jude W. Shavlik
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    RECOMB
    2007
    Springer
    190views Computational Biology» more  RECOMB 2007»
    Minimizing and Learning Energy Functions for Side-Chain Prediction
    14 years 8 months ago
    Minimizing and Learning Energy Functions for Side-Chain Prediction
    Download  www.cs.huji.ac.il
    Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
    Chen Yanover, Ora Schueler-Furman, Yair Weiss
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    NIPS
    2003
    183views Information Technology» more  NIPS 2003»
    Learning a Distance Metric from Relative Comparisons
    13 years 9 months ago
    Learning a Distance Metric from Relative Comparisons
    Download  www.cs.cornell.edu
    This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
    Matthew Schultz, Thorsten Joachims
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